Готові списки джерел за темами / Multi input and multi output (MIMO) control

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Добірка наукової літератури з теми "Multi input and multi output (MIMO) control"

Автор: Grafiati

Опубліковано: 25 травня 2024

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

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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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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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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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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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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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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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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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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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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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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Дисертації з теми "Multi input and multi output (MIMO) control"

Nguyen, Chuong Hoang. "Adaptive Predictor-Based Output Feedback Control of Unknown Multi-Input Multi-Output Systems: Theory and Application to Biomedical Inspired Problems." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/71312.

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Functional Electrical Stimulation (FES) is a technique that applies electrical currents to nervous tissue in order to actively induce muscle contraction. Recent research has shown that FES provides a promising treatment to restore functional tasks due to paralysis caused by spinal cord injury, head injury, and stroke, to mention a few. Therefore, the overarching goal of this research work is to develop FES controllers to enable patients with movement-disorder to control their limbs in a desired manner and, in particular, to aid Parkinson's patients to suppress hand tremor. In our effort to develop strategies for muscle stimulation control, we first implement a model-based control technique assuming that all the states are measurable. The Hill-type muscle model coupled with a simplified 2DoF model of the arm is used to study the performance of our proposed adaptive sliding mode controller for simulation purpose. However, in the more practical situations, human limb dynamics are extremely complicate and it is inadequate to use model based controllers, especially considering there are still technical limitations that allow in vivo measurements of muscle activity. To tackle these challenges, we have developed output feedback adaptive control approaches for a class of unknown multi-input multi-output systems. Such control strategies are first developed for linear systems, and then extended to the nonlinear case. The proposed controllers, supported by experimental results, require minimum knowledge of the system dynamics and avoid many restrictive assumptions typically found in the literature. Therefore, we expect that the results introduced in this dissertation can provide a solution for a wide class of nonlinear uncertain systems, with focus on practical issues such as partial state measurement and the presence of mismatched uncertainties.
Ph. D.

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Jiang, Ping, and H. Chen. "Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems." IEEE, 2005. http://hdl.handle.net/10454/3500.

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Yes
An adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence for a trajectory tracking within a finite time interval is achieved through repetitive tracking. Simulations are carried out to show the validity of the proposed control method.

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Erpek, Tugba. "Multi-layer Optimization Aspects of Deep Learning and MIMO-based Communication Systems." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/102705.

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This dissertation addresses multi-layer optimization aspects of multiple input multiple output (MIMO) and deep learning-based communication systems. The initial focus is on the rate optimization for multi-user MIMO (MU-MIMO) configurations; specifically, multiple access channel (MAC) and interference channel (IC). First, the ergodic sum rates of MIMO MAC and IC configurations are determined by jointly integrating the error and overhead effects due to channel estimation (training) and feedback into the rate optimization. Then, we investigated methods that will increase the achievable rate for parallel Gaussian IC (PGIC) which is a special case of MIMO IC where there is no interference between multiple antenna elements. We derive a generalized iterative waterfilling algorithm for power allocation that maximizes the ergodic achievable rate. We verified the sum rate improvement with our proposed scheme through extensive simulation tests. Next, we introduce a novel physical layer scheme for single user MIMO spatial multiplexing systems based on unsupervised deep learning using an autoencoder. Both transmitter and receiver are designed as feedforward neural networks (FNN) and constellation diagrams are optimized to minimize the symbol error rate (SER) based on the channel characteristics. We first evaluate the SER in the presence of a constant Rayleigh-fading channel as a performance upper bound. Then, we quantize the Gaussian distribution and train the autoencoder with multiple quantized channel matrices. The channel is provided as an input to both the transmitter and the receiver. The performance exceeds that of conventional communication systems both when the autoencoder is trained and tested with single and multiple channels and the performance gain is sustained after accounting for the channel estimation error. Moreover, we evaluate the performance with increasing number of quantization points and when there is a difference between training and test channels. We show that the performance loss is minimal when training is performed with sufficiently large number of quantization points and number of channels. Finally, we develop a distributed and decentralized MU-MIMO link selection and activation protocol that enables MU-MIMO operation in wireless networks. We verified the performance gains with the proposed protocol in terms of average network throughput.
Doctor of Philosophy

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Yin, Liangzhen. "Intelligent control for performance optimization of proton exchange membrane fuel cell system." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCA013.

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Le système de pile à combustible à membrane échangeuse de protons (PEMFC) a été considéré comme la nouvelle technologie de production d'énergie, car il présente l'avantage d'une densité de puissance élevée, d'une absence d'émissions, d'un rendement élevé et d'un démarrage rapide. C'est pourquoi cette thèse est consacrée à la recherche sur l'intégration du système, le contrôle des paramètres du système et l'optimisation des performances du système pour les systèmes PEMFC à cathode ouverte et à cathode fermée. Pour les systèmes PEMFC à cathode ouverte, la température de la pile est le facteur clé affectant la performance de sortie du système. Afin d'améliorer les performances de suivi dynamique de la température dans des conditions de changement de charge, un contrôle adaptatif inverse et une prédiction grise basés sur un contrôle adaptatif sans modèle sont proposés pour un contrôle optimal de la température du système. En outre, afin d'améliorer l'efficacité du système, une stratégie de contrôle de l'efficacité maximale basée sur l'optimisation de l'efficacité maximale et la commande prédictive généralisée par contrainte est proposée dans cette thèse. Pour le système PEMFC à cathode fermée, compte tenu de la non-linéarité existante et du fort couplage entre les paramètres de fonctionnement tels que la température de la pile et le taux d'excès d'oxygène (OER), une stratégie de contrôle multivariable à double boucle basée sur un contrôle adaptatif en mode glissant sans modèle MIMO est proposée pour la régulation de la température de la pile et du débit d'air du système PEMFC à cathode fermée. En outre, un banc d'essai de système PEMFC à cathode ouverte de 300 W et un banc d'essai de système PEMFC à cathode fermée de 5 kW sont établis. Toutes les stratégies de contrôle et d'optimisation des performances sont vérifiées sur le banc d'essai des systèmes PEMFC à cathode ouverte et à cathode fermée
Proton exchange membrane fuel cell (PEMFC) system has been considered as the new power generation technology as it has the advantage of high power density, zero emission, high efficiency, and fast start-up characteristics. Therefore, this thesis is devoted to researching system integration, system parameter trcking control, and system performance optimization for open-cathode and closed-cathode PEMFC systems. For open-cathode PEMFC system, the stack temperature is the key factor sffecting the output performance of the system. In order to improve the dynamic temperature tracking performance under load changing conditions, adaptive inverse control and grey prediction based model free adaptive control is proposed for optimal temperature control of system. Further, in order to enhance the system efficiency of system, a maximum efficiency control strategy based on maximum efficiency optimization and constraint generalized predictive control is proposed in this thesis. For closed-cathode PEMFC system, considering the existed nonlinearity and strong coupling between operating parameters such as stack temperature and oxygen excess ratio (OER), a dual loop multivariable control strategy based on MIMO model free adaptive sliding mode control is proposed for stack temperature and air flow rate regulation of closed-cathode PEMFC system. Moreover, a 300 W open-cathode PEMFC system test bench and a 5-kW closed-cathode PEMFC system tests bench are established. All the control strategies and the performance optimization strategies are verified on the established test bench of open-cathode and closed-cathode PEMFC systems

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Ghazali, Abu Baker MHD. "Advanced controllers for building energy management systems. Advanced controllers based on traditional mathematical methods (MIMO P+I, state-space, adaptive solutions with constraints) and intelligent solutions (fuzzy logic and genetic algorithms) are investigated for humidifying, ventilating and air-conditioning applications." Thesis, University of Bradford, 1996. http://hdl.handle.net/10454/4197.

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This thesis presents the design and implementation of control strategies for building energy management systems (BEMS). The controllers considered include the multi PI-loop controllers, state-space designs, constrained input and output MIMO adaptive controllers, fuzzy logic solutions and genetic algorithm techniques. The control performances of the designs developed using the various methods based on aspects such as regulation errors squared, energy consumptions and the settling periods are investigated for different designs. The aim of the control strategy is to regulate the room temperature and the humidity to required comfort levels. In this study the building system under study is a 3 input/ 2 output system subject to external disturbances/effects. The three inputs are heating, cooling and humidification, and the 2 outputs are room air temperature and relative humidity. The external disturbances consist of climatic effects and other stochastic influences. The study is carried out within a simulation environment using the mathematical model of the test room at Loughborough University and the designed control solutions are verified through experimental trials using the full-scale BMS facility at the University of Bradford.

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Baskar, Siddharth. "Architecture for Multi Input Multi Output CompressiveRadars." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503302518672948.

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Jaber, Dana N. "Multi-input multi-output (MIMO) detection by a colony of ants." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1778.

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Coskun, Adem. "Downlink Transmission Techniques For Multi User Multi Input Multi Output Wireless Communications." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608750/index.pdf.

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Multi-user MIMO (MIMO-MU) communication techniques make use of available channel state information at the transmitter to mitigate the inter-user interference. The goal of these techniques is to provide the least interference at the mobile stations by applying a precoding operation. In this thesis a comparison of available techniques in the literature such as Channel Decomposition, SINR Balancing, Joint-MMSE optimization is presented. Novel techniques for the MIMO multi-user downlink communication systems, where a single stream is transmitted to each user are proposed. The proposed methods, different from the other methods in the literature, use a simple receiver to combat the interference. It has been shown that MRC based receivers are as good as more complicated joint MMSE receivers.

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Allen, Matthew Scott. "Global and Multi-Input-Multi-Output (MIMO) Extensions of the Algorithm of Mode Isolation (AMI)." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6877.

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A wide range of dynamic systems can be approximated as linear and time invariant, for which a wealth of tools are available to characterize or modify their dynamic characteristics. Experimental modal analysis (EMA) is a procedure whereby the natural frequencies, damping ratios and mode shapes which parameterize vibratory, linear, time invariant systems are derived from experimentally measured response data. EMA is commonly applied in a multitude of applications, for example, to generate experimental models of dynamic systems, validate finite element models and to characterize dissipation in vibratory systems. Recent EMA has also been used to characterize damage or defects in a variety of systems. The Algorithm of Mode Isolation (AMI), presented by Drexel and Ginsberg in 2001, employs a unique strategy for modal parameter estimation in which modes are sequentially identified and subtracted from a set of FRFs. Their natural frequencies, damping ratios and mode vectors are then refined through an iterative procedure. This contrasts conventional multi-degree-of-freedom (MDOF) identification algorithms, most of which attempt to identify all of the modes of a system simultaneously. This dissertation presents a hybrid multi-input-multi-output (MIMO) implementation of the algorithm of mode isolation that improves the performance of AMI for systems with very close or weakly excited modes. The algorithmic steps are amenable to semi-automatic identification, and many FRFs can be processed efficiently and without concern for ill-conditioning, even when many modes are identified. The performance of the algorithm is demonstrated on noise contaminated analytical response data from two systems having close modes, one of which has localized modes while the other has globally responsive modes. The results are compared with other popular algorithms. MIMO-AMI is also applied to experimentally obtained data from shaker excited tests of the Z24 highway bridge, demonstrating the algorithm's performance on a data set typical of many EMA applications. Considerations for determining the number of modes active in the frequency band of interest are addressed, and the results obtained are compared to those found by other groups of researchers.

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El, Rashid Mohamad. "Study of Multiport Antenna Systems on Terminals for WLAN : MIMO Technology." Thesis, University of Gävle, Ämnesavdelningen för elektronik, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-4420.

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Using more than just on antenna can significantly speed up the data rate in a wireless communication system. These systems are commonly referred to as Diversity- and MIMO-systems. Due to tight volume restriction for the antennas, e.g. in a mobile phone, electromagnetic coupling between the antennas will degrade the capacity of the wireless system and lower the coverage.

In the proposed thesis, a thorough study of Ethertronics’ standard antennas will be established in which the antennas will be used in a multiport system, e.g. MIMO. The thesis will be strongly related to Ethertronics’ engagement in Chase and therefore also dependent on the latest progresses on MPA (Multiport Analyzer) developed in Chase. The thesis will result in a working methodology how to use MPA plus design-, location- and orientation rules for the standard antennas used in a multiport system.

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Книги з теми "Multi input and multi output (MIMO) control"

D, Wieseman Carol, McGraw Sandra M, and Langley Research Center, eds. Multiple-function multi-input/multi-output digital control and on-line analysis. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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Multi-Input Multi-Output Repetitive Control Theory And Taylor Series Based Repetitive Control Design. [New York, N.Y.?]: [publisher not identified], 2012.

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K, Henderson D., and United States. National Aeronautics and Space Administration., eds. QFT multi-input, multi-output design with non-diagonal, non-square compensation matrices. [Elmsford, N.Y.]: Pergamon Press, 1996.

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United States. National Aeronautics and Space Administration., ed. Final technical report on multi-input multi-output system control for experimental aircraft. West Lafayette, Ind: Purdue University, School of Aeronautics and Astronautics, 1987.

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M, McGraw Sandra, and Langley Research Center, eds. The multiple-function multi-input/multi-output digital controller system for the AFW wind-tunnel model. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1992.

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Частини книг з теми "Multi input and multi output (MIMO) control"

Song, Bongsob, and J. Karl Hedrick. "Multi-Input Multi-Output Mechanical Systems." In Communications and Control Engineering, 123–51. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-632-0_6.

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Woodall, James, Maimuna Hossain, Arup Maji, John Pott, and Fernando Moreu. "Exploring Uncertainties in Multi-Input-Multi-Output (MIMO) Testing." In Special Topics in Structural Dynamics & Experimental Techniques, Volume 5, 197–204. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47709-7_19.

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Phatak, Aashish, Deepa Panicker, Priyank Verma, Mayuri Bhadra, and Vinit Hegiste. "Multi-input Multi-output Self-learning-Based Control System." In International Conference on Advanced Computing Networking and Informatics, 329–37. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2673-8_35.

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Isidori, Alberto. "Elementary Theory of Nonlinear Feedback for Multi-Input Multi-Output Systems." In Nonlinear Control Systems, 234–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-02581-9_5.

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Isidori, Alberto. "Elementary Theory of Nonlinear Feedback for Multi-Input Multi-Output Systems." In Nonlinear Control Systems, 219–91. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-84628-615-5_5.

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Lu, Qiang, Yuanzhang Sun, and Shengwei Mei. "Design Principles of Multi-Input Multi-Output Nonlinear Control Systems." In Nonlinear Control Systems and Power System Dynamics, 121–64. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3312-9_4.

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Moreu, Fernando, James Woodall, and Arup Maji. "Understanding Errors from Multi-Input-Multi-Output (MIMO) Testing of a Cantilever Beam." In Conference Proceedings of the Society for Experimental Mechanics Series, 147–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77143-0_15.

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Singh, Aabhas, Matt Allen, and Washington J. DeLima. "Multi–input Multi–output Active Vibration Control for High Frequency Random Vibration." In Special Topics in Structural Dynamics, Volume 5, 37–47. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75390-4_3.

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Taneja, Manas, and Dheeraj Joshi. "Genetic Algorithm Based Intelligent Control Strategy for Multi-input Multi-output DC–DC Converter." In Studies in Infrastructure and Control, 113–20. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4663-8_10.

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Yang, Guanglong, Xiao Wang, Shizeng Guo, and Yi Wang. "A New Beam Selection Transmission Method in the Massive Multi-Input Multi-Output (MIMO) System." In Lecture Notes in Electrical Engineering, 274–81. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_33.

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Тези доповідей конференцій з теми "Multi input and multi output (MIMO) control"

Shahruz, Shahram M., and Jingang Yi. "Design of Disturbance Observers for Multi-Input Multi-Output Systems." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43117.

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In this paper, the long-standing problem of designing disturbance observers for multi-input multi-output (MIMO) systems is solved. The disturbance observer presented here has a simple structure equivalent to that of the internal model control (IMC), thereby there is no need for the system inversion. Techniques to design the proposed disturbance observer are given. Furthermore, the design procedure is illustrated via examples for different MIMO systems.

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Lim, Yongseob, Ravinder Venugopal, and A. Galip Ulsoy. "Improved part quality in stamping using Multi-Input Multi-Output (MIMO) process control." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5159838.

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Chen, Peiying, Yuanyuan Liu, Weidong Zhang, and Jie Bao. "Analytical Design and Tuning Method of Multivariable controller for Multi-input-Multi-output (MIMO) Processes." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282312.

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Taylor, J. D., and William Messner. "Controller Design for Nonlinear Multi-Input/Multi-Output Systems Using the Contoured Robust Controller Bode Plot." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-4047.

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In this paper, a novel approach to controller design for non-linear multi–input/multi–output (MIMO) systems is presented based on the Contoured Robust Controller Bode (CRCBode) plot. CRCBode plots show level–sets of a robust metric and identify certain “forbidden regions” on the controller Bode magnitude and phase plots such that intersections of the controller frequency response with these forbidden regions indicate that a robust stability and performance criterion is violated. Nonlinear system dynamics are included as a structured uncertainty set consisting of linearizations about several operating points. To demonstrate this approach, we design a controller for a MIMO high–speed, low–tension magnetic tape drive memory system. A preliminary approximate inverse step is described, followed by several loop–shaping design iterations to eliminate all intersections with the forbidden regions on the CRCBode diagrams. Finally, the CRCBode compensator is compared to one generated using an automated H∞ synthesis algorithm.

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Ruggiero, Eric, Gyuhae Park, Daniel J. Inman, and Jan Wright. "Multi-Input Multi-Output Modal Testing Techniques for a Gossamer Structure." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33976.

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Inflated space-based structures have become popular over the past three decades due to their minimal launch-mass and launch-volume. Once inflated, these space structures are subject to vibrations induced by guidance systems and space debris as well as from variable amounts of direct sunlight. Understanding the dynamic behavior of space-based structures is critical to ensuring their desired performance. Inflated materials, however, pose special problems when testing and trying to control their vibrations because of their lightweight, flexibility, and high damping. Traditional modal testing techniques, based on single-input, single-output (SISO) methods, are limited for a variety of reasons when compared to their multiple counterparts. More specifically, SISO modal testing techniques are unable to reliably distinguish between pairs of modes that are inherent to axi-symmetric structures (such as an inflated torus, a critical component of a gossamer spacecraft). Furthermore, it is questionable as to whether a single actuator could reliably excite the global modes of a true gossamer craft, such as a 25 m diameter torus. In this study, we demonstrate the feasibility of using a multiple-input multiple-output (MIMO) modal testing technique on an inflated torus. In particular, the refined modal testing methodology focuses on using Macro-Fiber Composite (MFC®) patches (from NASA Langley Research Center) as both actuators and sensors. MFC® patches can be integrated in an unobtrusive way into the skin of the torus, and can be used to find a gossamer structure’s modal parameters. Furthermore, MFC® excitation produces less interference with suspension modes of the free-free torus than excitations from a conventional shaker. The use of multiple actuators is shown to properly excite the global modes of the structure and distinguish between pairs of modes at nearly identical resonant frequencies. Formulation of the MIMO test as well as the required postprocessing techniques are explained and successfully applied to an inflated Kapton® torus.

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Abu-Ayyad, Ma’moun, Abdelkader Abdessameud, and Issam Abu-Mahfouz. "An Infinite Model Predictive Controller for Multi Input Nonlinear Processes." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70401.

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This paper presents a novel algorithm of an infinite model predictive controller for controlling nonlinear multi-input multi-output (MIMO) processes. The new strategy uses a set of continuous nonlinear functions that captures the nonlinear characteristics of the MIMO plant over a wide operating range resulting in a more accurate prediction of the controlled variables. The method formulates a nonlinear dynamic matrix that is manipulated variable dependent during closed-loop control. The proposed algorithm was implemented on a nonlinear MIMO thermal system comprising of three temperature zones to be controlled with interacting effects. The experimental closed-loop responses of the proposed algorithm were compared to a multi-model dynamic matrix controller (DMC) with improved results for various setpoint trajectories. The MIMO process has nonlinear parameters such as process gain and time constant that are dependent on the size of the control actions. Good disturbance rejection was attained resulting in improved tracking of multi-setpoint profiles in comparison to multi-model DMC.

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Kim, Yeesock, Stefan Hurlebaus, Reza Sharifi, and Reza Langari. "Nonlinear Identification of MIMO Smart Structures." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2715.

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This paper proposes a multiple model approach for a nonlinear multi-input, multi-output (MIMO) system identification (SI) of smart structures equipped with magnetorheological (MR) dampers. The proposed model is developed through integration of MIMO autoregressive exogenous (ARX) input models, Takagi-Sugeno (TS) fuzzy model, weighted linear least squares estimators, and data clustering algorithms. Nonlinear behavior of the structure-MR damper systems is represented by a set of linear MIMO ARX input models whose operating regions are blended by TS fuzzy sets. To demonstrate the effectiveness of the proposed MIMO ARX-TS fuzzy model, a 20-story high-rise building employing MR dampers is investigated. It is demonstrated that the proposed approach is effective in modeling nonlinear behavior of the structure-MR damper system subjected to a variety of disturbances. Comparison with high fidelity data proves the viability of the proposed approach in control engineering setting.

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Shah, Prateek, Zhi Chen, and Roberto Horowitz. "Application of MIMO Data Driven Feedback Control Design to Dual Stage Hard Disk Drives." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3260.

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Abstract With increasing data density on hard disk drives, there is need to develop more robust and better performing track following control systems. We present a multi-input multi-output (MIMO) data driven feedback control design methodology. The design considers multiple frequency response measurements of all actuators, simultaneously, ensuring robustness of the control design system. A mixed H2 – H∞ norm locally convex optimization algorithm is used to synthesize the feedback controllers for MIMO systems. Feedback controllers are developed for dual stage hard disk drives using the MIMO data driven control design technique. A dual stage hard disk drive comprises of two actuators in series, controlling a read/write head onto a rotating disk. Our objective is to stabilize the closed loop of the actuators and minimize the error position signal of the read/write head. H2 norm and H∞ norm control objectives are used to formulate the MIMO data driven control problem. The design is based on a set of five frequency response measurements of the two actuators. We also compare the MIMO design methodology to a single-input multi-output (SIMO) design methodology presented earlier [1].

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Danielson, Claus. "Symmetric Control Design for Multi-Evaporator Vapor Compression Systems." In ASME 2017 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dscc2017-5167.

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Multi-evaporator vapor compression systems (ME-VCS) are inherently multi-input multi-output (MIMO) systems, often with complex, highly coupled dynamics. Thus, they require more sophisticated control schemes than traditional on-off logic, or decentralized proportional-integral controllers. Unfortunately, many MIMO control design techniques are not well suited for this problem since they require complex numerical computations that do not scale gracefully for the high-dimensional dynamics of ME-VCS systems. This paper exploits the observed similarity of the room dynamics to reduce the computational complexity of designing controllers. We use a linear matrix inequality based controller synthesis technique that exploits symmetry for designing controllers for large-scale ME-VCS systems. This controller synthesis technique was applied to an ME-VCS system with 50 rooms. Using tradition control design methods required 41 hours to synthesize a controller, while our technique designed an identical controller in less than 1 second.

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Zhang, Rong, Eko A. Prasetiawan, and Andrew G. Alleyne. "Modeling and Multivariable Control of an Earthmoving Vehicle Powertrain." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24564.

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Abstract Coordination of the power distribution in a Multi-Input Multi-Output (MIMO) electrohydraulic 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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Звіти організацій з теми "Multi input and multi output (MIMO) control"

Li, Jian. Multi-Input Multi-Output (MIMO) Radar - Diversity Means Superiority. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada487209.

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