Journal articles: 'MIMO (Multi-Input and Multi-Output)'

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Avila, J., B. Vinoth, and K. Thenmozhi. "Multi Input Multi Output (MIMO) Multiband OFDM." Information Technology Journal 13, no. 12 (June 1, 2014): 2042–46. http://dx.doi.org/10.3923/itj.2014.2042.2046.

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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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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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Chowdhuri, Swati, Sayan Chakraborty, Nilanjan Dey, Ahmad Taher Azar, Mohammed Abdel-Megeed M. Salem, Sheli Sinha Chaudhury, and Pranab Banerjee. "Recent Research on Multi Input Multi Output (MIMO) based Mobile ad hoc Network." International Journal of Service Science, Management, Engineering, and Technology 5, no. 3 (July 2014): 54–65. http://dx.doi.org/10.4018/ijssmet.2014070104.

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Mobile ad hoc Network (MANET) and Multi Input Multi Output (MIMO) communication are emerging techniques in modern communication system. MIMO and MANET have various applications in the wireless communication system. This paper presents a survey on recent advancement of MIMO implemented mobile ad hoc network. A review of more than 40 papers on MIMO communication based mobile ad hoc network and most of the related topics is presented in this work. This paper shows the significant contribution in the field of MIMO communication and mobile ad hoc network. Previous works in this domain can be categorized into four major areas: (a) Mathematical modeling of MIMO channel and Ad hoc networks, (b) Physical Scattering Model of MIMO channel considering fading (c) Spatial multiplexing (OFDM) technique with MIMO channel, (d) Analysis of transmission efficiency of packet radio network. The review paper establishes the advancement in these four areas as well as recent changes in advance communication and networking environments.

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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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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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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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DUAN, ZHISHENG, JINZHI WANG, and LIN HUANG. "MULTI-INPUT AND MULTI-OUTPUT NONLINEAR SYSTEMS: INTERCONNECTED CHUA'S CIRCUITS." International Journal of Bifurcation and Chaos 14, no. 09 (September 2004): 3065–81. http://dx.doi.org/10.1142/s0218127404011168.

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In this paper, a class of MIMO nonlinear systems are studied. Some frequency domain conditions are established for the property of dichotomy. These kinds of systems can also be viewed as a class of interconnected systems composed of SISO systems through some linear and nonlinear interconnections. A class of nonlinear input and output interconnections are presented. The corresponding condition for testing dichotomy is given. Furthermore, Chua's circuit and interconnected Chua's circuit are studied to illustrate the theoretical results.

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Raviv, Li-on, and Amir Leshem. "Scheduling for Multi-User Multi-Input Multi-Output Wireless Networks with Priorities and Deadlines." Future Internet 11, no. 8 (August 5, 2019): 172. http://dx.doi.org/10.3390/fi11080172.

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The spectral efficiency of wireless networks can be significantly improved by exploiting spatial multiplexing techniques known as multi-user MIMO. These techniques enable the allocation of multiple users to the same time-frequency block, thus reducing the interference between users. There is ample evidence that user groupings can have a significant impact on the performance of spatial multiplexing. The situation is even more complex when the data packets have priority and deadlines for delivery. Hence, combining packet queue management and beamforming would considerably enhance the overall system performance. In this paper, we propose a combination of beamforming and scheduling to improve the overall performance of multi-user MIMO systems in realistic conditions where data packets have both priority and deadlines beyond which they become obsolete. This method dubbed Reward Per Second (RPS), combines advanced matrix factorization at the physical layer with recently-developed queue management techniques. We demonstrate the merits of the this technique compared to other state-of-the-art scheduling methods through simulations.

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Al-Lafi, Dua’a, Omar Banimelhem, Mohammad Shurman, Eyad Taqieddin, and Salim Alkhawaldeh. "Pilot Contamination Mitigation in Massive Multi-Input Multi-Output (MIMO) System." International Journal on Communications Antenna and Propagation (IRECAP) 10, no. 6 (December 31, 2020): 377. http://dx.doi.org/10.15866/irecap.v10i6.19374.

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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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Azari-Nasab, T., CH Ghobadi, B. Azarm, and M. Majidzadeh. "Triple-band operation achievement via multi-input multi-output antenna for wireless communication system applications." International Journal of Microwave and Wireless Technologies 12, no. 3 (October 10, 2019): 259–66. http://dx.doi.org/10.1017/s1759078719001302.

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AbstractA multi-input multi-output (MIMO) antenna is designed and discussed for multi-band applications. The constituent antennas are composed of four L-shaped elements and a ground plane. When placed beside each other to form a MIMO antenna, a T-bar shaped parasitic structure is also embedded between the antennas on the backside of the substrate to increase the inter-element isolation. The triple-band performance of the antenna is observed at 2.15–2.73 GHz, 3.1–3.9 GHz, and 5.04–6 GHz. The isolation level of more than 20 is seen over the operating frequency range. The fabricated prototype of the MIMO antenna size is very compact (20 × 40 mm), printed on the FR4 substrate. Based on simulation and experimental results, the proposed design is useful for WiMAX and WLAN applications.

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Gupta, Ramesh K., and Bijoy K. Das. "Multi-input and multi-output SOI (MIMO-SOI) platform for silicon photonics." CSI Transactions on ICT 5, no. 2 (December 31, 2016): 189–93. http://dx.doi.org/10.1007/s40012-016-0148-2.

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Althahab, Awwab Qasim Jumaah, and Sameer Abdul Kadhim Alrufaiaat. "A Comprehensive Review on Various Estimation Techniques for Multi Input Multi Output Channel." Journal of University of Babylon for Engineering Sciences 27, no. 1 (February 11, 2019): 262–74. http://dx.doi.org/10.29196/jubes.v27i1.1995.

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The problem of wireless channel estimation has been evolving due to some undesirable effects of channel physical properties on transmitted signals. At the receiver end, distortions, delays, attenuations, interferences, and phase shifts are the most issues encounter together with the received signals. In order to overcome channel effects and provide almost a perfect quality of data transmission, channel parameter estimation is needed. In Multiple Input-Multiple Output systems (MIMO), channel estimation is a more complicated step as compared with the Single Input-Single Output systems, SISO, because of the fact that the number of sub-channels that needs estimate is much greater than SISO systems. The fundamental objective of this research paper is to go over the famous and efficient algorithms that have been innovated to solve the problem of MIMO channel estimation in wireless communication systems. In this paper, these techniques have been classified into three groups: non-blind, semi-blind and blind estimation. For each group, a brief illustration is presented for familiar estimation algorithms. Finally, we compare between these techniques based on computational complexity, latency and estimation accuracy.

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Junior, Milembolo Miantezila, Bin Guo, Chenjie Zhang, and Xuemei Bai. "Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems." Sensors 21, no. 11 (May 21, 2021): 3584. http://dx.doi.org/10.3390/s21113584.

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Cellular network operators are predicting an increase in space of more than 200 percent to carry the move and tremendous increase of total users in data traffic. The growing of investments in infrastructure such as a large number of small cells, particularly the technologies such as LTE-Advanced and 6G Technology, can assist in mitigating this challenge moderately. In this paper, we suggest a projection study in spectrum sharing of radar multi-input and multi-output, and mobile LTE multi-input multi-output communication systems near m base stations (BS). The radar multi-input multi-output and mobile LTE communication systems split different interference channels. The new approach based on radar projection signal detection has been proposed for free interference disturbance channel with radar multi-input multi-output and mobile LTE multi-input multi-output by using a new proposed interference cancellation algorithm. We chose the channel of interference with the best free channel, and the detected signal of radar was projected to null space. The goal is to remove all interferences from the radar multi-input multi-output and to cancel any disturbance sources from a chosen mobile Communication Base Station. The experimental results showed that the new approach performs very well and can optimize Spectrum Access.

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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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Zheng, Wei, Huaihai Chen, Zhengbo Luo, and Amr A. Nassr. "Multi-Input-Multi-Output Continuous Swept-Sine Vibration Test Realization by Inverse Multistep Prediction Model." Shock and Vibration 2020 (September 28, 2020): 1–13. http://dx.doi.org/10.1155/2020/8869802.

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As frequency-varying sine excitations in rotating machines are always emerging during run-ups and shutdowns, the multi-input-multi-output (MIMO) swept-sine test is of utter significance in product validation. At present, swept-sine vibration tests are mostly conducted with frequency-domain methods, where drive spectra are generated and updated by frequency response function (FRF), and drive signals are then generated with sinusoid oscillators. In this paper, a time-domain approach using an inverse system method based on a multistep prediction model is developed to realize the MIMO continuous swept-sine vibration test. First, the multistep prediction model of the original system is estimated in the time domain. Then, the inverse multistep prediction model is derived. After that, this model is truncated to guarantee the robustness of the inverse system and the smoothness of the generated drive signals. At last, the proposed method is validated by a simulation example with a cantilever beam and an actual test by using a three-axis shaker. The results show that the MIMO continuous swept-sine vibration test can be operated effectively by the proposed method.

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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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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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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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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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Wang, Huan, and Jian Zhou. "Brief Analysis of MIMO Channel and Antenna." Advanced Materials Research 912-914 (April 2014): 952–55. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.952.

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MIMO (Multi-input Multi-output) is an abstract mathematical model used to describe the multi-antenna wireless communication system. the transmitter can use a plurality of separate antennas transmit signals simultaneously. This paper first analyzes MIMO physical model, and then the MIMO channel characteristics and capacity for analysis, analysis of MIMO antenna characteristics and finally focus on the correlation coefficient

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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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Wang, Cheng, Delei Chen, Haiyang Huang, Wei Zhan, Xiongming Lai, and Jianwei Chen. "MIMO LS-SVR-Based Multi-Point Vibration Response Prediction in the Frequency Domain." Applied Sciences 10, no. 24 (December 8, 2020): 8784. http://dx.doi.org/10.3390/app10248784.

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To predict the multi-point vibration response in the frequency domain when the uncorrelated multi-source loads are unknown, a data-driven and multi-input multi-output least squares support vector regression (MIMO LS-SVR)-based method in the frequency domain is proposed. Firstly, the relationship between the measured multi-point vibration response and unmeasured multi-point vibration response is formulated using the transfer function in the frequency domain. Secondly, the data-driven multiple regression analysis problem of multi-point vibration response prediction in the frequency domain is described formally, and its mathematical model is established. With the measured multi-point vibration response as the input and the unmeasured multi-point vibration response as the output, the vibration response history data are assembled as a MIMO training dataset at each frequency. Thirdly, using the MIMO LS-SVR algorithm and MIMO history training dataset, the multi-point vibration response prediction model is built at each frequency point. By comparing the transmissibility matrix method, multiple linear regression model-based method, and MIMO neural network method, the application scope of the proposed method and its advantages are analyzed. The experimental results for acoustic and vibration experiment on a cylindrical shell verified that the MIMO LS-SVR-based method predicts the multi-point vibration response effectively when the loads are unknown, and has higher precision than the transfer function method, multiple linear regression method, MIMO neural network method, and transmissibility matrix method.

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Liu, Longlong, Di Ma, Ahmad Taher Azar, and Quanmin Zhu. "Neural Computing Enhanced Parameter Estimation for Multi-Input and Multi-Output Total Non-Linear Dynamic Models." Entropy 22, no. 5 (April 30, 2020): 510. http://dx.doi.org/10.3390/e22050510.

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In this paper, a gradient descent algorithm is proposed for the parameter estimation of multi-input and multi-output (MIMO) total non-linear dynamic models. Firstly, the MIMO total non-linear model is mapped to a non-completely connected feedforward neural network, that is, the parameters of the total non-linear model are mapped to the connection weights of the neural network. Then, based on the minimization of network error, a weight-updating algorithm, that is, an estimation algorithm of model parameters, is proposed with the convergence conditions of a non-completely connected feedforward network. In further determining the variables of the model set, a method of model structure detection is proposed for selecting a group of important items from the whole variable candidate set. In order to verify the usefulness of the parameter identification process, we provide a virtual bench test example for the numerical analysis and user-friendly instructions for potential applications.

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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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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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Sulaiman, M. S., and Z. Ahmad. "Minimizing loop interaction in Multi Input Multi Output (MIMO) system using partial decoupler approach." IOP Conference Series: Materials Science and Engineering 702 (December 7, 2019): 012018. http://dx.doi.org/10.1088/1757-899x/702/1/012018.

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Tsai, Chih-Yu, Kin-Lu Wong, and Wei-Yu Li. "Experimental results of the multi-Gbps smartphone with 20 multi-input multi-output (MIMO) antennas in the 20 × 12 MIMO operation." Microwave and Optical Technology Letters 60, no. 8 (June 15, 2018): 2001–10. http://dx.doi.org/10.1002/mop.31289.

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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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Shakir, Farouk, Mazin Ali A. Ali, and Firas Ameer. "Utilization of MIMO Concept for Optical Communication System under Fog Condition." ECTI Transactions on Electrical Engineering, Electronics, and Communications 17, no. 2 (August 31, 2019): 130–35. http://dx.doi.org/10.37936/ecti-eec.2019172.219183.

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Free-space optical (FSO) communication consider license free, high data rate, wide bandwidth and cost-effective. Multi-input Multi-output (MIMO) systems can be employed to reduce the attenuation by heavy fog and improve FSO channel capacity. In this paper a single-input single-output and multi–input multi-output examined to investigate the performance of these systems under heavy fog. A comparison is made in terms of received optical power, signal to noise ratio, and bit error rate (BER) using OptiSystem version 7.0. The signal reaches to link up to 1.7km, 1.55km, 1.5km, and 1.4km for 4Tx/4Rx, 3Tx/3Rx, 2Tx/2Rx, 1Tx/1Rxrespectively. The results showed that the quality of received power is enhancement by using up to four beams.

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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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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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34

Geng, Kunling, Dae C. Shin, Dong Song, Robert E. Hampson, Samuel A. Deadwyler, Theodore W. Berger, and Vasilis Z. Marmarelis. "Multi-Input, Multi-Output Neuronal Mode Network Approach to Modeling the Encoding Dynamics and Functional Connectivity of Neural Systems." Neural Computation 31, no. 7 (July 2019): 1327–55. http://dx.doi.org/10.1162/neco_a_01204.

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This letter proposes a novel method, multi-input, multi-output neuronal mode network (MIMO-NMN), for modeling encoding dynamics and functional connectivity in neural ensembles such as the hippocampus. Compared with conventional approaches such as the Volterra-Wiener model, linear-nonlinear-cascade (LNC) model, and generalized linear model (GLM), the NMN has several advantages in terms of estimation accuracy, model interpretation, and functional connectivity analysis. We point out the limitations of current neural spike modeling methods, especially the estimation biases caused by the imbalanced class problem when the number of zeros is significantly larger than ones in the spike data. We use synthetic data to test the performance of NMN with a comparison of the traditional methods, and the results indicate the NMN approach could reduce the imbalanced class problem and achieve better predictions. Subsequently, we apply the MIMO-NMN method to analyze data from the human hippocampus. The results indicate that the MIMO-NMN method is a promising approach to modeling neural dynamics and analyzing functional connectivity of multi-neuronal data.

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Noueili, Leila, Wassila Chagra, and 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 (June 7, 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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36

Lee, Woon-Sang, Jae-Hyun Ro, Young-Hwan You, Duckdong Hwang, and Hyoung-Kyu Song. "An Enhanced Precoder for Multi User Multiple-Input Multiple-Output Downlink Systems." Applied Sciences 10, no. 13 (June 30, 2020): 4547. http://dx.doi.org/10.3390/app10134547.

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Recently, as the demand for data rate of users has increased, wireless communication systems have aimed to offer high throughput. For this reason, various techniques which guarantee high performance have been invented, such as massive multiple-input multiple-output (MIMO). However, the implementation of huge base station (BS) antenna array and decrease of reliability as the number of users increases are chief obstacles. In order to mitigate these problems, this paper proposes an adaptive precoder which provides high throughput and bit error rate (BER) performances to achieve the desired data rate in multi user (MU) MIMO downlink systems which have a practical BS antenna array (up to 16). The proposed scheme is optimized with a modified minimum mean square error (MMSE) criterion in order to improve BER gain and reduce data streams in order to obtain diversity gain at low signal to noise ratio (SNR). It is shown that the BER and throughput performances of the proposed scheme are improved.

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Bashar, Dr Abul. "Artificial Intelligence Based LTE MIMO Antenna for 5th Generation Mobile Networks." September 2020 2, no. 3 (June 13, 2020): 155–62. http://dx.doi.org/10.36548/jaicn.2020.3.002.

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Artificial intelligence based long term evolution multi in multi output antenna supporting the fifth generation mobile networks is put forth in the paper. The mechanism laid out in paper is devised using the monopole-antenna integrated with the switchable pattern. The long term evolution based multiple input and multiple output antenna is equipped with four antennas and capable of providing a four concurrent data streams quadrupling the theoretical maximum speed of data transfer allowing the base station to convey four diverse signals through four diverse transmit antennas for a single user equipment. The utilization of the long term evolution multiple input multiple output is capable of utilizing the multi-trial broadcasting to offer betterments in the signal performance as well as throughput and spectral efficiency when used along the fifth generation mobile networks. So the paper proposes the artificial intelligence based long term evolution multiple input multiple output four transmit antenna with four diverse signal transmission capacity that is operating in the frequency of 3.501 Gigahertz frequency. The laid out design is evaluated using the Multi-input Multi output signal analyzer to acquire the capacity of the passive conveyance of the various antennas with the diverse combination of patterns. The outcomes observed enables the artificial intelligence antenna to identify the choicest antenna to be integrated in the diverse environments for improving the throughput, signal performance and the data conveyance speed.

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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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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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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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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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41

Tornambe`, A., and P. Valigi. "A Decentralized Controller for the Robust Stabilization of a Class of MIMO Dynamical Systems." Journal of Dynamic Systems, Measurement, and Control 116, no. 2 (June 1, 1994): 293–304. http://dx.doi.org/10.1115/1.2899223.

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This work deals with the problem of the robust stabilization of a class of multi-input multi-output (MIMO) dynamical systems. A simple decentralized controller is proposed, which reduces to the classical PID controller in case of single-input single-output dynamical systems. Such a controller includes integral actions for the compensation of the entire dynamics of the system. The paper is completed with an application to robotic systems.

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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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43

Seokhyun Yoon and Sok Kyu Lee. "A Detection Algorithm for Multi-Input Multi-Output (MIMO) Transmission using Poly-Diagonalization and Trellis Decoding." IEEE Journal on Selected Areas in Communications 26, no. 6 (August 2008): 993–1002. http://dx.doi.org/10.1109/jsac.2008.080815.

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Luo, Minnan, Fuchun Sun, and Huaping Liu. "Joint Block Structure Sparse Representation for Multi-Input–Multi-Output (MIMO) T–S Fuzzy System Identification." IEEE Transactions on Fuzzy Systems 22, no. 6 (December 2014): 1387–400. http://dx.doi.org/10.1109/tfuzz.2013.2292973.

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Anuradha, C., C. Sakthivel, T. Venkatesan, and N. Chellammal. "Analysis of Non-Isolated Multi-Port Single Ended Primary Inductor Converter for Standalone Applications." Energies 11, no. 3 (March 2, 2018): 539. http://dx.doi.org/10.3390/en11030539.

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A non-isolated Multiport Single Ended Primary Inductor Converter (SEPIC) for coordinating photovoltaic sources is developed in this paper. The proposed multiport converter topologies comprise a Single Input Multi yield (SIMO) and Multi Input Multi Output (MIMO). It is having the merits of decreased number of parts and high power density. Steady state analysis verifies the improved situation of both the proposed topologies, which is further checked through simulation results.

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46

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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Ahmad, S. M., A. J. Chipperfield, and M. O. Tokhi. "Dynamic modelling and linear quadratic Gaussian 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 217, no. 3 (May 1, 2003): 203–27. http://dx.doi.org/10.1177/095965180321700304.

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This paper presents an investigation into the modelling and control of a one-degree-of-freedom (1 DOF) twin-rotor multi-input multi-output (MIMO) system (TRMS). The behaviour of the TRMS in certain aspects resembles that of a helicopter. Hence, it is an interesting identification and control problem. A dynamic model characterizing the TRMS in hover is extracted using a black-box system identification technique. The extracted model is employed in the design of a feedback linear quadratic Gaussian compensator, namely the stability augmentation system (SAS). This has a good tracking capability but requires high control effort and has inadequate authority over residual vibration of the system. These problems are resolved by further augmenting the system with a command path prefilter, resulting in the command and stability augmentation system (CSAS). The combined feedforward and feedback compensator satisfies the performance objectives and obeys the actuator constraint. The control law is implemented in realtime on the TRMS platform.

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Sambariya, D. K., and Omveer Sharma. "Routh Approximation: An Approach of Model Order Reduction in SISO and MIMO Systems." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 3 (June 1, 2016): 486. http://dx.doi.org/10.11591/ijeecs.v2.i3.pp486-500.

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In this paper the Routh Approximation method is explored for getting the reduced order model of a higher order model. The reduced order modeling of a large system is necessary to ease the analysis of the system. The approach is examined and compared to single-input single-output (SISO) and multi-input multi-output (MIMO) systems. The response comparison is considered in terms of step response parameters and graphical comparisons. It is reported that the reduced order model using proposed Routh Approximation (RA) method is almost similar in behavior to that of with original systems.

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Alghoniemy, Masoud. "Regularized MIMO Decoders." Journal of Communications Software and Systems 5, no. 4 (December 20, 2010): 149. http://dx.doi.org/10.24138/jcomss.v5i4.201.

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In the Multi Input Multi Output (MIMO) antenna system, it is known that the Linear Minimum Mean Squared Error (MMSE) receiver is equivalent to Tikhonov regularization.Given that, we develop a family of generalized receivers based on regularization with different penalty functions that penalize the received symbols outside the convex hull of the modulating constellation. For illustration purposes we consider two types of penalty functions, the deadzone and infinity norm penalty functions. The proposed decoders have low complexity and can be implemented efficiently using convex optimization algorithms. Simulation results show that the proposed receivers outperform the MMSE receiver by as high as 5-dB at low Signal to Noise Ratio (SNR).

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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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Journal articles on the topic 'MIMO (Multi-Input and Multi-Output)'

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