Статті в журналах: "Multi input and multi output (MIMO) control"

1

Zhu, Ming, Yu Shi, Ding Fan, and Hai Zhou. "Multi-Input Multi-Output Control of Consumable DE-GMAW." Applied Mechanics and Materials 395-396 (September 2013): 1114–17. http://dx.doi.org/10.4028/www.scientific.net/amm.395-396.1114.

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A novel and high efficient consumable double-electrode gas metal arc welding (consumable DE-GMAW) method has been introduced. Because of the coupled welding parameters, a multi-input multi-output (MIMO) control scheme was proposed and tested, which controlled the bypass arc by adjusting the bypass wire feed speed, and controlled the base metal current by adjusting the bypass current. Then, the welding experiment has been carried out. The results showed that the MIMO control scheme was effective. The base metal current was controlled at a nearly constant level and the welding process was stable. Also a good weld appearance was obtained.

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2

El-Saify, M. H., A. M. El-Garhy, and G. A. El-Sheikh. "Brain Emotional Learning Based Intelligent Decoupler for Nonlinear Multi-Input Multi-Output Distillation Columns." Mathematical Problems in Engineering 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/8760351.

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The distillation process is vital in many fields of chemical industries, such as the two-coupled distillation columns that are usually highly nonlinear Multi-Input Multi-Output (MIMO) coupled processes. The control of MIMO process is usually implemented via a decentralized approach using a set of Single-Input Single-Output (SISO) loop controllers. Decoupling the MIMO process into group of single loops requires proper input-output pairing and development of decoupling compensator unit. This paper proposes a novel intelligent decoupling approach for MIMO processes based on new MIMO brain emotional learning architecture. A MIMO architecture of Brain Emotional Learning Based Intelligent Controller (BELBIC) is developed and applied as a decoupler for 4 input/4 output highly nonlinear coupled distillation columns process. Moreover, the performance of the proposed Brain Emotional Learning Based Intelligent Decoupler (BELBID) is enhanced using Particle Swarm Optimization (PSO) technique. The performance is compared with the PSO optimized steady state decoupling compensation matrix. Mathematical models of the distillation columns and the decouplers are built and tested in simulation environment by applying the same inputs. The results prove remarkable success of the BELBID in minimizing the loops interactions without degrading the output that every input has been paired with.

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3

Liu, Yuan, Song Xu, Seiji Hashimoto, and Takahiro Kawaguchi. "A Reference-Model-Based Neural Network Control Method for Multi-Input Multi-Output Temperature Control System." Processes 8, no. 11 (October 28, 2020): 1365. http://dx.doi.org/10.3390/pr8111365.

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Neural networks (NNs), which have excellent ability of self-learning and parameter adjusting, has been widely applied to solve highly nonlinear control problems in industrial processes. This paper presents a reference-model-based neural network control method for multi-input multi-output (MIMO) temperature system. In order to improve the learning efficiency of the NN control, a reference model is introduced to provide the teaching signal for the NN controller. The control inputs for the MIMO system are given by the sum of the output of the conventional integral-proportional-derivative (I-PD) controller and the outputs of the neural network controller. The proposed NN control method can not only improve the transient response of the system, but can also realize temperature uniformity in MIMO temperature systems. To verify the proposed method, simulations are carried out in MATLAB/SIMULINK environment and experiments are carried out on the DSP (Digital Signal Processor)-based experimental platform, respectively. Both results are quantitatively compared to those obtained from the conventional I-PD control systems. The effectiveness of the proposed method has been successfully verified.

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4

Gasbaoui, Brahim, Chaker Abdelkader, and Laoufi Adellah. "Multi-input multi-output fuzzy logic controller for utility electric vehicle." Archives of Electrical Engineering 60, no. 3 (September 1, 2011): 239–56. http://dx.doi.org/10.2478/v10171-011-0023-6.

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Multi-input multi-output fuzzy logic controller for utility electric vehicle Currently commercialization of electric vehicle (EV) is based to minimize the time of starting and acceleration. To undergo this problem multi-input multi-output fuzzy logic controller (MIMO-FLC) affect on propelled traction system forming MMS process was proposed. This paper introduces a MIMO-FLC applied on speeds of electric vehicle, the electric drive consists of two directing wheels and two rear propulsion wheels equipped with two light weight induction motors. The EV is powered by two motors of 37 kilowatts each one, delivering a 476 Nm total torque. Its high torque (476Nm) is instantly available to ensure responsive acceleration performance in built-up areas. Acceleration and steering are ensured by an electronic differential system which maintains robust control for all cases of vehicle behavior on the road. It also allows controlling independently every driving wheel to turn at different speeds in any curve. Direct torque control based on space vector modulation (DTC-SVM) is proposed to achieve the tow rear driving wheel control. The MIMO-FLC control technique is simulated in MATLAB SIMULINK environment. The simulation results have proved that the MIMO-FLC method decreases the transient oscillations and assure efficiency comportment in all type of road constraints, straight, slope, descent and curved road compared to the single input single output fuzzy controller (SISO-FLC).

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5

Kerr, Murray L., Suhada Jayasuriya, and Samuel F. Asokanthan. "Robust Stability of Sequential Multi-input Multi-output Quantitative Feedback Theory Designs." Journal of Dynamic Systems, Measurement, and Control 127, no. 2 (May 24, 2004): 250–56. http://dx.doi.org/10.1115/1.1898233.

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This paper re-examines the stability of multi-input multi-output (MIMO) control systems designed using sequential MIMO quantitative feedback theory (QFT). In order to establish the results, recursive design equations for the SISO equivalent plants employed in a sequential MIMO QFT design are established. The equations apply to sequential MIMO QFT designs in both the direct plant domain, which employs the elements of plant in the design, and the inverse plant domain, which employs the elements of the plant inverse in the design. Stability theorems that employ necessary and sufficient conditions for robust closed-loop internal stability are developed for sequential MIMO QFT designs in both domains. The theorems and design equations facilitate less conservative designs and improved design transparency.

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6

Liu, Kai, Fanwei Meng, Shengya Meng, and Chonghui Wang. "Robust Controller Design for Multi-Input Multi-Output Systems Using Coefficient Diagram Method." Entropy 23, no. 9 (September 8, 2021): 1180. http://dx.doi.org/10.3390/e23091180.

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The coupling between variables in the multi-input multi-output (MIMO) systems brings difficulties to the design of the controller. Aiming at this problem, this paper combines the particle swarm optimization (PSO) with the coefficient diagram method (CDM) and proposes a robust controller design strategy for the MIMO systems. The decoupling problem is transformed into a compensator parameter optimization problem, and PSO optimizes the compensator parameters to reduce the coupling effect in the MIMO systems. For the MIMO system with measurement noise, the effectiveness of CDM in processing measurement noise is analyzed. This paper gives the control design steps of the MIMO systems. Finally, simulation experiments of four typical MIMO systems demonstrate the effectiveness of the proposed method.

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7

Mohan, Dr T. Murali. "Closed-Loop Control of a New High Step-Up Multi-Input Multi-Output DC-DC Converter." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 1281–98. http://dx.doi.org/10.22214/ijraset.2021.38988.

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Abstract: A new multi-input multi-output dc-dc converter with high step-up capability for wide power ranges is proposed in this paper. The converter's number of inputs and outputs is arbitrary and independent of each other. The proposed topology combines the benefits of DC-DC boost and switched-capacitor converters. The number of input, output, and voltage multiplier stages is arbitrary and depends on the design conditions. First, the various operating modes of the proposed converter are discussed. The closed-loop control system also must be designed using state space representation and small-signal modelling. Finally, the operation of the proposed converter is derived from the simulation results. Keywords: High power converter, Low voltage stress, Multi-Input Multi-Output (MIMO) converter, Non-isolated high step-up dc-dc converter, closed loop control.

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8

Mohammed A. Ali, Musaab, and Volodymyr Vodichev. "MODELING OF MIMO SYSTEMS WITH UNIVERSAL CONTROLLER." ELECTRICAL AND COMPUTER SYSTEMS 37, no. 113 (June 30, 2023): 26–32. http://dx.doi.org/10.15276/eltecs.37.113.2023.03.

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Abstract. The control of multi-input multi-output (MIMO) systems poses significant challenges due to the intricate dynamics and interactions between multiple input and output channels. This paper presents a simulation study on MIMO systems control using the universal control technique. The proposed method offers a versatile framework for regulating MIMO systems with varying dynamics, utilizing a single control algorithm. The underlying concept of the universal control law is to devise a set of principles or strategies that can be universally applied to any system, regardless of its specific characteristics or parameters. To achieve this, the control algorithm is designed based on the derivatives balance of the system's input-output dynamics, granting the controller adaptability to both single-input single-output (SISO) and MIMO systems. Numerical examples are provided to demonstrate the effectiveness of the proposed method, involving a MIMO system comprising four inputs in a two-coupled distillation column process and two inputs in a twin rotor setup. The challenges associated with distillation column control, such as nonlinearity, disturbances, and interaction between multiple inputs and outputs, are considered. Twin rotor systems, consisting of two interconnected rotors, pose unique control difficulties, primarily arising from the coupling between the two rotors and their nonlinear behavior. The simulation results show the capability of the proposed universal controller to achieve precise and robust control over the MIMO system. Keywords: MIMO, Control, Simulation, Distillation Column Process, Twin Rotor.

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9

Baharom, Rahimi, and Mohd Shukri Mohd Ghazali. "Development of multi-input multi-output converter for decarbonization energy system." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 1 (March 1, 2024): 271. http://dx.doi.org/10.11591/ijpeds.v15.i1.pp271-280.

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Decarbonization energy systems include a range of renewable energy sources, such as solar, wind, hydro, and geothermal. These sources generate electricity with minimal carbon emissions and can be used in various applications, including power generation, heating, and transportation. Therefore, the use of a multi-input multi-output (MIMO) converter is becoming increasingly important in decarbonization energy systems. This is because the integration of multiple renewable energy sources, requires a power converter that can manage multiple inputs and outputs efficiently. This paper presents the development of a MIMO converter using a single-phase matrix converter for decarbonization energy systems. The proposed converter is capable of integrating multiple renewable energy sources and can be used in a microgrid application, thus removing the need of multiple converters. The design and analysis of the converter are presented, including the selection of power switches and control strategy. The performance of the converter is evaluated through experimental results, demonstrating its effectiveness in managing multiple inputs and outputs using a single power converter circuit. The results indicate that the proposed converter is a promising solution for decarbonization energy systems, contributing to the development of sustainable energy systems.

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10

Kim, Hyun-Su, and Joo-Won Kang. "Development of Multi-Input Multi-Output Control Algorithm for Adaptive Smart Shared TMD." Journal of the Korean Association for Spatial Structures 15, no. 2 (June 15, 2015): 105–12. http://dx.doi.org/10.9712/kass.2015.15.2.105.

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Cai, Shouyu, Wenshang Zhou, Hongtao Wei, and Mingfu Zhu. "Topology Optimization Design of Multi-Input-Multi-Output Compliant Mechanisms with Hinge-Free Characteristic and Totally Decoupled Kinematics." Applied Sciences 13, no. 7 (April 6, 2023): 4627. http://dx.doi.org/10.3390/app13074627.

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A new multi-constraint optimization model with the weighted objective function is proposed to design the multi-input-multi-output (MIMO) compliant mechanisms. The main feature of this work is that both the two notable problems related to the de facto hinge and the movement coupling are tackled simultaneously in the topological synthesis of MIMO compliant mechanisms. To be specific, the first problem is the severe stress concentration in the flexible hinge areas, and it is solved by the introduction of input and output compliances into the objective function, which could facilitate the optimization to strike a good balance between structural flexibility and stiffness. The second problem is the high degree of control complexity caused by the coupled outputs and inputs, and it is addressed by achieving the complete decoupling with two groups of extra constraints that are used to suppress the input coupling and the output coupling, respectively. As the most common and effective topology optimization method, the Solid Isotropic Material with Penalization (SIMP)-based density method is adopted here to obtain the optimized configurations. After the analytical sensitivity deduction related to the weighted objective function and constraints, two typical numerical examples are presented to demonstrate the validity of the proposed topology optimization framework in designing the hinge-free and completely decoupled MIMO compliant mechanisms.

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12

Abd, Reem Hikmat, and Hussein A. Abdulnabi. "Reconfigurable graphene-based multi-input multi-output antenna design for THz applications." Bulletin of Electrical Engineering and Informatics 12, no. 4 (August 1, 2023): 2193–202. http://dx.doi.org/10.11591/beei.v12i4.4956.

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This paper presents a compact graphene-based multi-input multi-output (MIMO) antenna for wireless communications operating in frequency band (0.1-10) THz. This work has been performed with four ports microstrip antennas based on 37×88 μm² a silicon dioxide (Sio₂) substrate and copper on the ground layer, with high isolation by a series of unit cells of graphene selected between adjacent patches to reduce the transmission coefficient and antenna size. Graphene's chemical potential will change by changing the connected DC voltage, leading to bandwidth and resonant frequency variation. The simulation has a reflection coefficient is less than -10 dB at (4.5-10) THz of the frequency scale, mutual coupling (-15 dB), and the gain from (4.7-9) THz is (1.6-6.7254) dB. This paper aims to provide wideband, efficient and reconfigurable with simple graphene-based MIMO antenna for THz applications.

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Abd, Reem Hikmat, and Hussein A. Abdulnabi. "Reconfigurable graphene-based multi-input multi-output antenna design for THz applications." Bulletin of Electrical Engineering and Informatics 12, no. 4 (August 1, 2023): 2193–202. http://dx.doi.org/10.11591/eei.v12i4.4956.

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This paper presents a compact graphene-based multi-input multi-output (MIMO) antenna for wireless communications operating in frequency band (0.1-10) THz. This work has been performed with four ports microstrip antennas based on 37×88 μm² a silicon dioxide (Sio₂) substrate and copper on the ground layer, with high isolation by a series of unit cells of graphene selected between adjacent patches to reduce the transmission coefficient and antenna size. Graphene's chemical potential will change by changing the connected DC voltage, leading to bandwidth and resonant frequency variation. The simulation has a reflection coefficient is less than -10 dB at (4.5-10) THz of the frequency scale, mutual coupling (-15 dB), and the gain from (4.7-9) THz is (1.6-6.7254) dB. This paper aims to provide wideband, efficient and reconfigurable with simple graphene-based MIMO antenna for THz applications.

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Liu, Yihua, Jiayi Wen, Dacheng Xu, Zhijian Huang, and Hong Zhou. "The decoupled vector-control of PMSM based on nonlinear multi-input multi-output decoupling ADRC." Advances in Mechanical Engineering 12, no. 12 (December 2020): 168781402098425. http://dx.doi.org/10.1177/1687814020984255.

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The Permanent Magnet Synchronous Motor (PMSM) is widely used in many fields. Aiming at nonlinearity, strong coupling and uncertainty of the PMSM, this paper proposes a nonlinear multi-input multi-output (MIMO) decoupling PMSM algorithm based on Active Disturbance Rejection Control (ADRC). A Lower-Upper matrix factorization approach is introduced to solve a general inverse of the measured time-varying matrix in real-time decoupling ADRC. This PMSM is based on the vector control. First, the PMSM model and vector control are simulated. Then, a first-order ADRC is introduced and used to replace the PID controller in the d and q axis of PMSM respectively. The simulation shows that the replaced system has a smaller fluctuation, faster response and better stability. Finally, the nonlinear MIMO decoupling ADRC and its inverse matrix method are deduced. Then, the decoupling PMSM control based on ADRC is verified. The simulation shows that this system has a better static and dynamic performance, and it conforms to the PMSM characteristics better. All this shows that the nonlinear MIMO decoupling ADRC is a better strategy for the PMSM. The presented algorithm also has advantage in method compared with some recent results of decoupling PMSM control.

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15

Verma, Vipin, and Aruna Patel. "(MIMO Buck Converter) Multi-Input Multi-Output DC-DC Buck Converter." International Journal for Research in Applied Science and Engineering Technology 12, no. 3 (March 31, 2024): 691–96. http://dx.doi.org/10.22214/ijraset.2024.58908.

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Abstract: Designs of the power electronics circuitry are nowadays reducing the size, space, and weight of converter and inverter circuits. This is possible because of the availability of new high-switching frequency devices. This paper presents a generalized model of buck converters that is multi-input multi-output(MIMO) fixed and variable. The converter used for stepping down the voltage is called a buck converter. The buck converter is designed, analyzed simulated & developed. The proposed model of this Buck converter consists of two parts: (a) Main converter circuits with the components like switch, inductor, diode, capacitor, and load, (b) A control circuit for controlling the operation of the switch using 10 10-turn potentiometer. This model can accurately give the power output voltage.

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Kodimyala, Srinivas, and Srinivasulu Tadisetty. "Uplink millimeter-wave multi-cell multi-user massive multi-input multi-output systems." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 1 (April 1, 2022): 261. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp261-268.

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In this paper, we delve into the maximized spectral efficiency (SE) of millimeter-wave (mmWave) multicell multiuser massive MIMO Systems for uplink transmission with low-resolution phase shifters (LRPSs). Millimeter-wave massive multiple-input multiple-output (mMIMO) is an important technology for upcoming cellular networks which will provide higher bandwidth and throughput than current wireless systems and networks. LRPSs are commonly used to minimize power consumption, maximize spectral efficiency and diminish the complexity of hybrid precoder and combiner. In this paper, we consider a hybrid analog-digital precoder and combiner design with LRPSs for mmWave multi-cell multiuser mMIMO systems for uplink transmission to spectral efficiency in terms of iterations. The proposed technique outperforms when compared to traditional optimization approaches concerning spectral efficiency and bit error rate (BER). We show through simulation results that our designs with LRPSs outperform standard iteration procedures.

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Pathan, E., M. H. Khan, M. K. Aslam, M. Asad, H. Arshad, and M. I. Rabani. "A Multivariable Twin-Rotor System Control Design." Engineering, Technology & Applied Science Research 11, no. 1 (February 6, 2021): 6626–31. http://dx.doi.org/10.48084/etasr.3947.

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This paper presents the design of a Multi-Input Multi-Output (MIMO) PID controller for a twin-rotor MIMO system. A multivariable control system consisting of two loops is designed for a non-linear system with two inputs and two outputs. The designed controllers have been tested on a simulated model with different possibilities and real-time results were taken. The designed PID controller efficiently controls the loops of the system and does not suffer from any process interactions. The results indicate that the performance of the PID controllers is excellent and both the transient and the steady-state enactment are adequate. The yaw and pitch rotor’s real-time responses are almost the same as the desired ones.

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18

Li, Chen, Biao Huang, Da Zheng, and Feng Qian. "Multi-input–Multi-output (MIMO) Control System Performance Monitoring Based on Dissimilarity Analysis." Industrial & Engineering Chemistry Research 53, no. 47 (November 12, 2014): 18226–35. http://dx.doi.org/10.1021/ie503641c.

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19

Uçak, Kemal, and Beyza Nur Arslantürk. "Adaptive MIMO fuzzy PID controller based on peak observer." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 13, no. 2 (July 9, 2023): 139–50. http://dx.doi.org/10.11121/ijocta.2023.1247.

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In this paper, a novel peak observer based adaptive multi-input multi-output (MIMO) fuzzy proportional-integral-derivative (PID) controller has been introduced for MIMO time delay systems. The adaptation mechanism proposed by Qiao and Mizumoto [1] for single-input single-output (SISO) systems has been enhanced for MIMO system adaptive control. The tracking, stabilization and disturbance rejection performances of the proposed adaptation mechanism have been evaluated for MIMO systems by comparing with non-adaptive fuzzy PID and classical PID controllers. The obtained results indicate that the introduced adjustment mechanism for MIMO fuzzy PID controller can be successfully deployed for MIMO time delay systems.

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20

Hikmat Abd, Reem, and Hussein Ali Abdulnabi. "Design of graphene-based multi-input multi-output antenna for 6G/IoT applications." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 1 (July 1, 2023): 212. http://dx.doi.org/10.11591/ijeecs.v31.i1.pp212-221.

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In the future, 6G wireless communications will be integrated into various applications. It is expected that it will handle all Internet of Things services as well as satellite communications. Additionally, it is predicted to support machine learning (ML) and artificial intelligence (AI). So this work investigated four orthogonal ports graphene-based multiple-input and multiple-output (MIMO) antenna in the terahertz frequency regime. With wide-band (7.1-13) THz, minimum return loss close to -30 dB and a good isolation value. That was designed over silicon dioxide (Sio2) 100×100 substrate with a thickness of 10 µm and a maximum gain reaching 8.3 dB at 11 THz. By adjusting the provided DC voltage, the chemical potential of graphene can be tuned, which in turn allows for the MIMO antenna characteristics to be changed. Envelop correlation coefficient (ECC) and diversity gain (DG) were investigated for the presented design. In addition, these values were determined to assess compatibility and difficulties connected with communication over a short distance. The geometry of the MIMO antenna is adaptable to various applications in the THz band with highperformance requirements, such as sensing, scanning for security threats, biomedical applications, wireless communication systems with high speed built on the 6G standard, and the internet of things (IoT).

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Pratumsuwan, Pornjit, Santi Hutamarn, and Watcharin Po-Ngaen. "Energy Saving in Electro-Hydraulic System Using a MIMO Fuzzy Controller." Advanced Materials Research 622-623 (December 2012): 75–79. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.75.

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Energy saving in the electro-hydraulic system (EHS) that currently exists in most inverter used to adjust speed of the asynchronous motor (ASM) which drive a fixed displacement pump. The most controller commonly used control system such as PID and multi-input single-output (MISO) fuzzy controller. In this paper, a multi-input multi-output (MIMO) fuzzy controller is used to improve the energy saving performance of the EHS. The proposed controller is designed to control the pressure of the EHS to suit the actual needs of the load. The two inputs of controller received signals from the error and change in error of the load pressure of the EHS. For the two outputs of the controller, one output is used to control the inverter to adjust speed of an ASM which drive hydraulic pump, and one output that is used for control proportional pressure relief valve. The proposed controller was implemented to pressure control of compression machine. The experimental result showed that using a proposed controller can reduce power consumption was higher than compared with PID and MISO fuzzy controllers. Particularly, a MIMO fuzzy controller can reduce power consumption by up to 70.22% when compared to the conventional system.

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Al-Qaisy, Muayad A. Shehab. "Linear and Non-linear Multi-Input Multi-Output Model Predictive Control of Continuous Stirred Tank Reactor." Tikrit Journal of Engineering Sciences 19, no. 3 (September 30, 2012): 41–57. http://dx.doi.org/10.25130/tjes.19.3.05.

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In this article, multi-input multi-output (MIMO) linear model predictive controller (LMPC) based on state space model and nonlinear model predictive controller based on neural network (NNMPC) are applied on a continuous stirred tank reactor (CSTR). The idea is to have a good control system that will be able to give optimal performance, reject high load disturbance, and track set point change. In order to study the performance of the two model predictive controllers, MIMO Proportional-Integral-Derivative controller (PID) strategy is used as benchmark. The LMPC, NNMPC, and PID strategies are used for controlling the residual concentration (CA) and reactor temperature (T). NNMPC control shows a superior performance over the LMPC and PID controllers by presenting a smaller overshoot and shorter settling time.

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Abdul-Adheem, Wameedh Riyadh, Ibraheem Kasim Ibraheem, Ahmad Taher Azar, and Amjad J. Humaidi. "Improved Active Disturbance Rejection-Based Decentralized Control for MIMO Nonlinear Systems: Comparison with The Decoupled Control Scheme." Applied Sciences 10, no. 7 (April 6, 2020): 2515. http://dx.doi.org/10.3390/app10072515.

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A decentralized control scheme is developed in this paper based on an improved active disturbance rejection control (IADRC) for output tracking of square Multi-Input-Multi-Output (MIMO) nonlinear systems and compared with the decoupled control scheme. These nonlinear MIMO systems were subjected to exogenous disturbances and composed of high couplings between subsystems, input couplings, and uncertain elements. In the decentralized control scheme, it was assumed that the input couplings and subsystem couplings were both parts of the generalized disturbance. Moreover, the generalized disturbance included other components, such as exogenous disturbances and system uncertainties, and it was estimated within the context of Active Disturbance rejection Control (ADRC) via a novel nonlinear higher order extended state observer (NHOESO) from the measured output and canceled from the input channel in a real-time fashion. Then, based on the designed NHOESO, a separate feedback control law was developed for each subsystem to achieve accurate output tracking for given reference input. With the proposed decentralized control scheme, the square MIMO nonlinear system was converted into approximately separate linear time invariant Single-Input-Single-Output (SISO) subsystems. Numerical simulations in a MATLAB environment showed the effectiveness of the proposed technique, where it was applied on a hypothetical MIMO nonlinear system with strong couplings and vast uncertainties. The proposed decentralized control scheme reduced the total control signal energy by 20.8% as compared to the decoupled control scheme using Conventional ADRC (CADRC), while the reduction was 27.18% using the IADRC.

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Jabir, Amjad N., and Atyaf Sami Noori. "Soft values based detector for bit interleaved coded modulation multi input multi output systems." Bulletin of Electrical Engineering and Informatics 11, no. 6 (December 1, 2022): 3377–82. http://dx.doi.org/10.11591/eei.v11i6.4325.

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With the advantages of spatial multiplexing multi input multi output (MIMO) systems in terms of high transmission capacity, the high complexity of the detector at the receiver side of such systems is a major issue. Performance, in terms of bit error rate (BER) is studied for bit interleaved coded modulation (BICM) MIMO systems. List based generation of (bits) soft values is considered for 2 by 2, 4 by 4 systems with 16,64 quadrature amplitude modulation (QAM) and different list sizes utilizing a non systematic convolutional code. Using a sphere detector partial tree search, a scheme is suggested and shown to be more computationally efficient (in terms of the average number of scanned nodes) than a reported alternative for block, flat fading channels. Simulation results reveal that performance in terms of BER can still be maintained.

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French, I. G., C. S. Cox, and C. K. S. HO. "Genetic algorithms in model structure and controller structure identification." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 211, no. 5 (August 1, 1997): 333–43. http://dx.doi.org/10.1243/0959651971539867.

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Conventional multiloop SISO (single-input, single-output) control systems are still used in industry even though stating interaction between loops often significantly limits their effectiveness. Modern industry requires advanced control solutions based around multivariable system formulations. Two related but specific problems arise in the design of discrete-time MIMO (multi-input, multi-output) control systems. The first is the efficient identification of the structure, order and parameters of the MIMO discrete-time transfer function process description. The second is the difficulty in quickly establishing the selection of an appropriate set of manipulated variables to control a set of specified outputs, often called the ‘pairing problem’. This paper suggests a framework to help solve both problems by the development of automated search procedures based on a genetic algorithm.

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Faisal, Abdelraheem, Marappagounder Ramasamy, Mahadzir Shuhaimi, and Mohamed Rahim. "Identification of Multi-Input Multi-Output Systems Using Combined Direct and Indirect Methods." Applied Mechanics and Materials 625 (September 2014): 414–17. http://dx.doi.org/10.4028/www.scientific.net/amm.625.414.

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Successful deployment of cooperative decentralized model predicative control needs reasonably accurate subsystem interactions models. Processes in which open-loop tests are not permitted, closed-loop identification of subsystems interactions is crucial. An approach that combines the direct and indirect methods of closed-loop identification is proposed in this paper. It is shown that full dynamics of MIMO systems can be determined following a two-steps identification procedure. A representative case study is used to demonstrate the efficacy of the proposed approach.

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27

Xu, Song, Seiji Hashimoto, and Wei Jiang. "Pole-Zero Cancellation Method for Multi Input Multi Output (MIMO) Temperature Control in Heating Process System." Processes 7, no. 8 (August 1, 2019): 497. http://dx.doi.org/10.3390/pr7080497.

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With the rapid development of industrial technology, the multi-point (multi-input multi-output) heating processing systems with integrated temperature control have been increasingly needed to achieve high-quality and high-performance processing. In this paper, in response to the demand for proper transient response and to provide more accurate temperature controls, a novel pole-zero cancelation method is proposed for multi-input multi-output (MIMO) temperature control in heating process systems. In the proposed method, the temperature differences and transient characteristics of all points can be improved by compensating dead time difference and coupling effect together by matrix compensation and pole-zero cancelation with the feedforward reference model. Both simulations and experiments were carried out. The results were compared to the well-tuned conventional PI control system and PI plus decoupling compensation system to evaluate the control efficiency of the proposed method.

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28

Zhao, Tong, and Hai Fei Wu. "A Study on Multi-Input Multi-Output Active Noise Control System's Performance at Steady State." Applied Mechanics and Materials 373-375 (August 2013): 727–31. http://dx.doi.org/10.4028/www.scientific.net/amm.373-375.727.

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A method for determining whether a multi-input multi-output (MIMO) active noise control (ANC) system can reduce error signals around all sensors to zero at steady state was proposed. The method was converted to determine the solution of linear equations. Three different simulations were conducted to verify the theoretical analysis. Simulation shows that max estimation error of control signals is no greater than 1.87% in amplitude and 2.22 deg. in phase.

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29

MIYOSHI, Yuya, and Yuichi OGAWA. "Multi-Input Multi-Output (MIMO) Control System with a State Equation for Fusion Reactors." Plasma and Fusion Research 9 (2014): 1405015. http://dx.doi.org/10.1585/pfr.9.1405015.

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30

Nur, Indah. "KONTROL ROBUST IDLE SPEED MITSUBISHI 4G63 DENGAN METODE MULTI INPUT MULTI OUTPUT." SINERGI 20, no. 2 (June 1, 2016): 129. http://dx.doi.org/10.22441/sinergi.2016.2.007.

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Salah satu kerja mesin otomotif adalah kinerja idle speed yang secara signifikan dipengaruhi oleh parameter kontrol pada electronic control unit (ECU). Pada mesin, idle speed merupakan kompromi antara kecepatan mesin rendah untuk menghemat bahan bakar dan kemampuan untuk menolak gangguan dengan baik. Gangguan putaran mesin terjadi karena permintaan listrik pada alternator, yang mana dengan cepat akan menyebabkan naiknya kecepatan mesin sehingga bahan bakar yang di injeksi akan lebih banyak. Idle speed pada penelitian ini akan dikontrol menggunakan metode pengaturan robust multi input multi output (MIMO) yang mana sistem akan lebih kuat atau robust terhadap gangguan yang diberikan, kemudian menghasilkan perpaduan performance kecepatan optimal dengan emisi gas buang yang dihasilkan dalam seperti yang diinginkan serta waktu yang digunakan untuk kembali pada kecepatan idle speed yang diingikan lebih cepat.

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31

Hlal Mutlaq, Ali, Mohammed Ayad Saad, Faris Hassan Tata, and Ghanim Thiab Hasan. "Analysis the efficiency of multi-input-multi-output (MIMO) transmit receive systems." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (January 1, 2022): 190. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp190-196.

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Transmit antennas are chosen in multi-input-multi-output (MIMO) systems. Effective in improving system capacity while lowering RF connection costs and simplifying the system. Complete method with greatest accuracy for joint transmits and receive antenna selection (JTRAS), capable of scanning all subsets of both transmitting and receiving antennas for the optimal solution. However, when as the number of antennas but also computational complexity increase grows too great, limiting its application. Antennas are coded fractionally channel capacity maximizing coding is used as a basic criterion in this paper, and an intelligent algorithm Particle swarm algorithm, generic algorithm are used to pick antennas. The simulation results show that both algorithms are capable of performing antenna selection.

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32

Liu, Shu Bo, Shu Min Zhou, and Li Yong Hu. "Output Tracking Control and Synchronization of Continuous Chaotic Systems Using Differential Evolution Algorithm." Applied Mechanics and Materials 37-38 (November 2010): 823–28. http://dx.doi.org/10.4028/www.scientific.net/amm.37-38.823.

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This paper applies differential evolution (DE) algorithm to realize the output tracking control and synchronization of continuous chaotic systems. The output tracking control of single-input single-output (SISO) and multi-input multi-output (MIMO) chaotic system is investigated. Moreover, synchronization of chaotic systems with parameter mismatch or structure difference is also under discussion. Numerical simulations based on the well-known models such as Lorenz and Chen systems are used to illustrate the validity of this theoretical method.

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33

Kamaraj, Vibha, N. Chellammal, Bharatiraja Chokkalingam, and Josiah Lange Munda. "Minimization of Cross-Regulation in PV and Battery Connected Multi-Input Multi-Output DC to DC Converter." Energies 13, no. 24 (December 10, 2020): 6534. http://dx.doi.org/10.3390/en13246534.

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This paper proposes a digital model predictive controller (DMPC) for a multi-input multi-output (MIMO) DC-DC converter interfaced with renewable energy resources in a hybrid system. Such MIMO systems generally suffer from cross-regulation, which seriously impacts the stability and speed of response of the system. To solve the contemporary issues in a MIMO system, a controller is required to attenuate the cross-regulation. Therefore, this paper proposes a controller, which increases speed of response and maintains stable output by regulating the load voltage independently. The inductor current and the capacitor voltage of the proposed converter are considered as the controlling parameters. With the aid of Forward Euler’s procedure, the future values are computed for the instantaneous values of controlling parameters. Cost function defines the control action by the predicted values that describe the system performance and establish optimal condition at which the output of the system is required. This allows proper switching of the system, thereby helping to regulate the output voltages. Thus, for any variation in load, the DMPC ensures steady switching operation and minimization of cross-regulation. To prove the efficacy of proposed DMPC controller, simulations followed by the experimental results are executed on a hybrid system consisting of dual-input dual-output (DIDO) positive Super-Lift Luo converter (PSLLC) interfaced with photovoltaic renewable energy resource. The results thus obtained are compared with the conventional PID (proportional integrative derivative) controller for validation and prove that the DMPC controller is able to control the cross-regulation effectively.

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34

Shaqarin, Tamir. "Smith predictor-based PI control of a wet granulation process." JORDANIAN JOURNAL OF ENGINEERING AND CHEMICAL INDUSTRIES (JJECI) 1, no. 1 (June 1, 2018): 12–18. http://dx.doi.org/10.48103/jjeci122018.

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The need for prediction and reference updating in feedback control of a wet granulation process is addressed. The granulation process is often modeled as a multi-input multi-output (MIMO) linear model with dead-time. Industrial implementation of granulation process poses strict constraints on the process inputs & outputs. The presence of dead-time and the physical necessity of the input-output constraints are the key challenges of the wet granulation control. These challenges motivated the use of model predictive control (MPC) for such processes. In this work, a Smith predictor-based proportional-integral (PI) controller is designed for the dead-time compensation. Accompanied with the reference updating method to handle the physical constraints. The regulation and reference tracking control problems are assessed via closed-loop simulations of the wet granulation model. The ability of the proposed control approach of dead-time compensation and coping with input/output constraints is rigorously proved. The current approach is compared to MPC of a similar granulation process and found superior in terms of output stability, performance and reference tracking.

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35

Zhang, Rong, Andrew Alleyne, and Eko Prasetiawan. "Modeling and H2/H∞ MIMO Control of an Earthmoving Vehicle Powertrain." Journal of Dynamic Systems, Measurement, and Control 124, no. 4 (December 1, 2002): 625–36. http://dx.doi.org/10.1115/1.1515326.

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Coordination of the power distribution in a Multi-Input Multi-Output (MIMO) electro-hydraulic transmission is investigated for the case of an earthmoving vehicle powertrain. A generalized model of a representative system is presented along with the development of both H2 and H∞ MIMO controller designs. The controllers are developed based on a linearized model of the system about some nominal operating point. Multiple inputs are coordinated to control multiple load outputs simultaneously. Since typical MIMO electrohydraulic transmission systems have significant nonlinear dynamics that vary with system operating conditions, a robust controller design is paramount. The increased robustness of the H∞ controller over the H2 scheme is demonstrated qualitatively in the time domain through both disturbance rejection and trajectory tracking comparisons. A frequency domain criterion quantitatively provides quantifiable comparisons between the two methods. Hardware-in-the-Loop experiments validate the modeling and control performance on an Earthmoving Vehicle Powertrain Simulator (EVPS).

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36

Mbarek, Abdelkader, Kais Bouzrara, Tarek Garna, José Ragot, and Hassani Messaoud. "Laguerre-based modelling and predictive control of multi-input multi-output systems applied to a communicating two-tank system (CTTS)." Transactions of the Institute of Measurement and Control 39, no. 5 (November 9, 2015): 611–24. http://dx.doi.org/10.1177/0142331215613150.

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In this paper, a novel method is constructed for model predictive control (MPC) of multi-input multi-output (MIMO) systems. The latter are represented by a discrete-time MIMO ARX model expansion on Laguerre orthonormal bases. The resulting model, entitled the MIMO ARX-Laguerre model, provides a recursive representation with parameter number reduction. This reduction is strongly linked to the choice of Laguerre poles, and therefore we propose a new algorithm to optimize the Laguerre poles of the resulting model. The recursive formulation of the MIMO ARX-Laguerre model is used to obtain the MPC strategy. An [Formula: see text]-norm finite moving horizon cost function is used to obtain a control law which is implemented as a quadratic programming (QP) problem. The effectiveness of the proposed controller that takes into account physical constraints is illustrated by a numerical simulation example and by a practical validation on an experimental communicating two-tank system (CTTS).

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37

Ahmad, S. M., A. J. Chipperfield, and M. O. Tokhi. "Dynamic modelling and open-loop control of a twin rotor multi-input multi-output system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 216, no. 6 (September 1, 2002): 477–96. http://dx.doi.org/10.1177/095965180221600604.

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A dynamic model for a one-degree-of-freedom (DOF) twin rotor multi-input multi-output (MIMO) system (TRMS) in hover is obtained using a black-box system identification technique. The behaviour of the TRMS in certain aspects resembles that of a helicopter; hence, it is an interesting identification and control problem. This paper investigates modelling and open-loop control of the longitudinal axis alone, while the lateral axis movement is physically constrained. It is argued that some aspects of the modelling approach presented are suitable for a class of new generation or innovative air vehicles with complex dynamics. The extracted model is employed for designing and implementing a feedforward/open-loop control. Open-loop control is often the preliminary step for development of more complex feedback control laws. Open-loop control strategies using shaped command inputs are accordingly investigated for resonance suppression in the TRMS. Digital low-pass and band-stop filter shaped inputs are used on the TRMS testbed, based on the identified vibrational modes. A comparative performance study is carried out and the corresponding results presented. The low-pass filter is shown to result in better vibration reduction.

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38

Jin, Liang, Peter N. Nikiforuk, and Madan M. Gupta. "Dynamic Recurrent Neural Networks for Control of Unknown Nonlinear Systems." Journal of Dynamic Systems, Measurement, and Control 116, no. 4 (December 1, 1994): 567–76. http://dx.doi.org/10.1115/1.2899254.

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A scheme of dynamic recurrent neural networks (DRNNs) is discussed in this paper, which provides the potential for the learning and control of a general class of unknown discrete-time nonlinear systems which are treated as “black boxes” with multi-inputs and multi-outputs (MIMO). A model of the DRNNs is described by a set of nonlinear difference equations, and a suitable analysis for the input-output dynamics of the model is performed to obtain the inverse dynamics. The ability of a DRNN structure to model arbitrary dynamic nonlinear systems is incorporated to approximate the unknown nonlinear input-output relationship using a dynamic back propagation (DBP) learning algorithm. An equivalent control concept is introduced to develop a model based learning control architecture with simultaneous on-line identification and control for unknown nonlinear plants. The potentials of the proposed methods are demonstrated by simulation results.

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39

Muttair, Karrar Shakir, Ali Zuhair Ghazi Zahid, Oras Ahmed Shareef, Raed Hameed Chyad Alfilh, Ahmed Mohammed Qasim Kamil, and Mahmood Farhan Mosleh. "Design and analysis of wide and multi-bands multi-input multi-output antenna for 5G communications." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 2 (May 1, 2022): 903. http://dx.doi.org/10.11591/ijeecs.v26.i2.pp903-914.

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A good antenna design has played an essential role in the design of wireless communication systems, international companies are looking for the best design that suits their products in terms of size, bandwidth, gain, cost, and performance. In this paper, three antenna models are designed for fifth-generation (5G) communications, the first model is a single antenna, the second model is a two-ports multi-input multi-output (MIMO) antenna, and the third model is a four-ports MIMO antenna. The geometric dimensions of a single antenna are 20×37×1.6 mm3, the two-ports antenna dimensions are 44×37×1.6 mm3, while the four-ports antenna dimensions are 74×44×1.6 mm3. The design of these antennas was based on the latest strategies in terms of their small sizes and operating from 13.5 to 20 GHz in wide and multiple bands to be compatible with all advanced communication devices. Based on the results that emerged, it was noted that the reflection coefficient (S11) < -10 dB and has better isolation between the ports is < -26 dB. While the envelope correlation coefficient (ECC) value is < 1.036×10-9, and the diversity gain (DG) value is 10 dB. All antennas proposed operate in ultra-wideband (UWB) which is very necessary for 5G communications devices.

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40

Thompson, D. F., and O. D. I. Nwokah. "Analytic Loop Shaping Methods in Quantitative Feedback Theory." Journal of Dynamic Systems, Measurement, and Control 116, no. 2 (June 1, 1994): 169–77. http://dx.doi.org/10.1115/1.2899208.

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Quantitative Feedback Theory (QFT), a robust control design method introduced by Horowitz, has been shown to be useful in many cases of multi-input, multi-output (MIMO) parametrically uncertain systems. Prominent is the capability for direct design to closed-loop frequency response specifications. In this paper, the theory and development of optimization-based algorithms for design of minimum-gain controllers is presented, including an illustrative example. Since MIMO QFT design is reduced to a series of equivalent single-input, single-output (SISO) designs, the emphasis is on the SISO case.

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41

Spires, J. Michael, and Joseph F. Horn. "Multi-Input MultiOutput Model-Following Control Design Methods for Rotorcraft." Journal of the American Helicopter Society 66, no. 3 (July 1, 2021): 1–15. http://dx.doi.org/10.4050/jahs.66.032002.

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Two methods of multi-input multioutput (MIMO) command-model-following control design are compared for rotorcraft flight control. The first, explicit model following (EMF), employs single-input single-output inverse plants with a dynamic decoupling matrix, which is a purely feed-forward approach to inverting the plant. The second is dynamic inversion (DI), which involves both feed-forward and feedback path elements to invert the plant. The EMF design is purely linear, while the DI design has some nonlinear elements in vertical rate control. For each of these methods, an architecture is presented that provides angular rate model following with selectable vertical rate model following. Implementation challenges of both EMF and DI are covered, and methods of dealing with them are presented. These two MIMO model-following approaches are evaluated regarding (1) fidelity to the command model and (2) turbulence rejection. Both are found to provide good tracking of commands and reduction of cross coupling.

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42

Lin, Yu-Min, and Bo-Chiuan Chen. "Handling Enhancement of Autonomous Emergency Steering for Reduced Road Friction Using Steering and Differential Braking." Applied Sciences 11, no. 11 (May 26, 2021): 4891. http://dx.doi.org/10.3390/app11114891.

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Steering has more potential than braking to prevent rear-end collisions at higher relative velocities. A path tracking controller based on multi-input multi-output (MIMO) model predictive control (MPC) is proposed to enhance the handling performance of autonomous emergency steering in this paper. A six-state MIMO bicycle model including actuator dynamics of steering and differential braking is used for model prediction. Two control inputs are front wheel steering angle and direct yaw moment. Two model outputs are lateral displacement and heading angle. According to the work load ratios at four wheels, control allocation is used to determine the optimal braking force distribution to prevent tire force saturation. The performance of a single-input single-output (SISO) MPC that uses only steering angle control to track the lateral displacement of the desired path is employed to benchmark the performance of the proposed algorithm. Simulation results show that both SISO MPC and MIMO MPC can track the path on nominal road surface with high road friction coefficient of 0.9. For a road surface with medium road friction coefficient of 0.7, the SISO MPC is unable to track the path and loses directional stability. However, the MIMO MPC can still track the path and demonstrate robust path tracking and handling enhancement against model uncertainty due to reduced road friction.

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43

Noueili, Leila, Wassila Chagra та Moufida Ksouri. "New Iterative Learning Control Algorithm Using Learning Gain Based on σ Inversion for Nonsquare Multi-Input Multi-Output Systems". Modelling and Simulation in Engineering 2018 (7 червня 2018): 1–9. http://dx.doi.org/10.1155/2018/4195938.

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Model inversion Iterative Learning Control (ILC) for a class of nonsquare linear time variant/invariant multi-input multi-output (MIMO) systems is considered in this paper. A new ILC algorithm is developed based on σ-right inversion of nonsquare learning gain matrices to resolve the matrix inversion problems appeared in the direct model inversion of nonsquare MIMO systems. Furthermore, a sufficient and necessary monotonic convergence condition is established. With rigorous analysis, the proposed ILC scheme guarantees the convergence of the tracking error. To prove the effectiveness and to illustrate the performance of the proposed approach for linear time-invariant (LTI) and time-varying nonsquare systems, two illustrative examples are simulated.

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44

Filiushov, Vladislav Yu. "The polynomial method of controller synthesis based on the reference and disturbing signals." Analysis and data processing systems, no. 1 (March 25, 2022): 93–108. http://dx.doi.org/10.17212/2782-2001-2022-1-93-108.

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Анотація:

Linear controlled objects with one input and one output (single input - single output, SISO), and objects with multiple inputs and multiple outputs (multi-input – multi-output, MIMO) have different formalized controller synthesis algorithms. At the same time, objects with an unequal number of inputs and outputs, in many cases, are built by the developer intuitively, when changing the existing calculation algorithms for each control object, therefore, the development of a formalized calculation algorithm for this type of objects is relevant. Within the framework of this work, it is proposed to extend the synthesis technique for multichannel objects, which is the polynomial synthesis technique, to objects with a smaller number of inputs compared to the number of outputs, namely, to objects with one input and several outputs (single input – multi-output, SIMO). The reasoning developed in the work is an example of calculating an electromechanical tension control system in the material transportation zone of the production line, which has one input – the voltage supplied to the electric motor and four outputs–- the armature current, the rotation speed of the electric motor shaft, the rotation speed of the roll, the tension in the zone under consideration and the elastic moment. The tension in the considered zone is an adjustable coordinate. The use of the polynomial synthesis method for objects with a non-square matrix function made it possible to place the poles of a closed system in a given position, and the transfer function does not contain zeros according to the assignment. It was also possible to set the disturbance-stimulated zeros of the closed system in such a way that a second-order astatism is obtained.

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45

Meng, Xiang Yin, Shi De Xiao, and Hui Ping Huang. "Observable State Space Realization of Networked MIMO System for a Novel Virtual Observer-Based Delay Compensation." Advanced Materials Research 482-484 (February 2012): 1840–50. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.1840.

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With the ever increasing complexity of cyber-physical system, the coupling and interconnection between distributed nodes lead to a complicated description in mathematics. For example, time delays cannot be ignored in the cyber-physical system modeling. And delay compensation often requires the delayed Multi-Input-Multi-Output (MIMO) system to be presented in state space model and all time delays to be combined to sole side of input or output. The aim of this paper is to model the MIMO system with multiple delays in state space form and simultaneously combine both input and output delays into output channel only. In this paper, following up with the modeling of Networked MIMO System, an observable state-space realization of delayed transfer function matrix is developed, including the case with repeated poles. Meanwhile, multiple time delays are combined and allocated to the output side only. Based on the observable state space model, an observer can be designed and contributed to the delay compensation. Derivation and simulation results prove that the resulting model of Networked Control System (NCS) through the proposed modeling method is equivalent with the original networked MIMO system with both input and output delays in terms of input-output relationship, and thus it can be used in the prospective observer-based delay.

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46

Zhang, Zijia, Jun Liu, and Yansong Li. "Design and Analysis of a Multi-Input Multi-Output System for High Power Based on Improved Magnetic Coupling Structure." Energies 15, no. 5 (February 24, 2022): 1684. http://dx.doi.org/10.3390/en15051684.

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Conventional inductive contactless power transfer (ICPT) systems have only one energy transmission path, which makes it challenging to meet the power transmission requirements of high-power and reliability. This study proposes a novel multiple-input multiple-output (MIMO) ICPT system. The three-dimensional finite element analysis tool COMSOL is utilised to study various magnetic coupling structures, analyse the influence of cross-coupling between coils on the same side, design the circuit based on this, propose a parameter configuration method for resonance compensation, and, finally, build an experimental platform with small magnetic coupling structures for single-input single-output systems (SISO) and MIMO systems. The results indicate that the co-directional connection of the coils of the E-shaped and UE-shaped magnetic coupling structures has a strengthening effect on the secondary side coupling. The magnetic coupling structure of the E-shaped iron core exhibits the best transmission performance. The transmission power of the MIMO system with the E-shaped magnetic coupling structure as the core device is significantly improved. In addition, the output power is unchanged after a secondary side fault, which verifies the accuracy of the proposed method.

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47

Furukawa, Kohsuke, and Mingcong Deng. "Robust nonlinear tracking control system design of an uncertain multivariable process driven by a distributed control system device." Transactions of the Institute of Measurement and Control 39, no. 4 (December 7, 2015): 520–36. http://dx.doi.org/10.1177/0142331215611209.

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In this paper, by using a distributed control system (DCS) device, a robust tracking control system is proposed based on robust right coprime factorization for a heat exchanger actuated by a water level process with coupling effects and uncertainties. Firstly, nonlinear models of water level and temperature processes with coupling and uncertainties are given. Secondly, nonlinear feedback tracking control systems corresponding to a multi-input multi-output (MIMO) process are realized by using operator-based robust right coprime factorization. Meanwhile, stability of the control systems is guaranteed by using robust stability conditions compatible with the MIMO process including coupling effects, and to improve the output tracking performance, tracking controllers are designed. Finally, the effectiveness of the proposed design scheme is confirmed by simulation and experimental results.

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48

Song, Yong Lei, and Hai Yan Zeng. "Adaptive Output Tracking Control for a Class of MIMO Nonlinear Systems with Time-Delay." Applied Mechanics and Materials 602-605 (August 2014): 1264–69. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1264.

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Анотація:

For a class of multi-input multi-output (MIMO) nonlinear system with time-delay, a problem of adaptive output tracking is investigated. Through applying the back-stepping recursive method, an adaptive output tracking controller is designed to achieve robust control. According to Lyapunov stability theory, Barbalat lemma, and Gronwall inequality, the designed state feedback controller not only guarantees the system states are uniformly bounded, but also ensures the system tracking error converges to a small neighborhood.

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49

Voevoda, Alexander A., and Vladislav Yu Filiushov. "Polynomial matrix method for synthesizing regulators for objects with a control signal delay." Analysis and data processing systems, no. 1 (March 29, 2023): 7–24. http://dx.doi.org/10.17212/2782-2001-2023-1-7-24.

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Анотація:

In this paper, we consider the synthesis of control systems for objects with a control signal delay by a polynomial matrix method, which is used to locate the poles and, if possible, zeros in the required position. The controller is calculated from the output, i.e. only from the measured values in the plant, which is an advantage over other modal direction synthesis methods where a state vector must be used. It is proposed to approximate the delay link with a Padé series with a limited number of terms, thus obtaining transfer functions of the first and second orders. The desired characteristic polynomial of the closed system is chosen so that it contains the denominators of the approximation transfer functions, which will keep their poles in the closed system. The polynomial synthesis method makes it possible to calculate multichannel controllers both for objects with multiple inputs and multiple outputs (multi input - multi output, MIMO) and for objects with one input and several outputs (single input - multi output, SIMO). The latter include a DC motor with independent excitation, where the armature current and rotor speed are outputs, and the control signal applied to the semiconductor converter is the input. In this work, the control signal is formed with a delay exceeding the time of the transient process of the engine, which significantly affects its dynamics. By applying the proposed approach, it was possible to synthesize a rotor speed control system that is resistant to changes in the delay time in a fairly wide range.

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50

Hopkins, M. A., and H. F. VanLandingham. "Optimal Nonlinear Estimation of Linear Stochastic Systems: The Multivariable Extension." Journal of Dynamic Systems, Measurement, and Control 118, no. 2 (June 1, 1996): 350–53. http://dx.doi.org/10.1115/1.2802328.

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Анотація:

This paper extends to multi-input multi-output (MIMO) systems a nonlinear method of simultaneous parameter and state estimation that appeared in the ASME JDSM&C (September, 1994), for single-input single-output (SISO) systems. The method is called pseudo-linear identification (PLID), and applies to stochastic linear time-invariant discrete-time systems. No assumptions are required about pole or zero locations; nor about relative degree, except that the system transfer functions must be strictly proper. In the earlier paper, proofs of optimality and convergence were given. Extensions of those proofs to the MIMO case are also given here.

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