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1

Kumbhakar, Subal C., and Hung-pin Lai. "A multi-output multi-input stochastic frontier system with input- and output-specific inefficiency." Economics Letters 201 (April 2021): 109807. http://dx.doi.org/10.1016/j.econlet.2021.109807.

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2

YAMAGUCHI, Isao, Tokio KASAI, and Hirotaka IGAWA. "Multi-input Multi-output System Identification Using Impulse Responses." Transactions of the Japan Society of Mechanical Engineers Series C 73, no. 726 (2007): 392–98. http://dx.doi.org/10.1299/kikaic.73.392.

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3

El-Gaafary, Ahmed A. M., Yahia S. Mohamed, Ashraf Mohamed Hemeida, and Al-Attar A. Mohamed. "Grey Wolf Optimization for Multi Input Multi Output System." Universal Journal of Communications and Network 3, no. 1 (2015): 1–6. http://dx.doi.org/10.13189/ujcn.2015.030101.

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4

YAMAGUCHI, Isao, Tokio KASAI, and Hirotaka IGAWA. "Multi-input Multi-output System Identification Using Impulse Responses." Journal of Space Engineering 1, no. 1 (2008): 1–11. http://dx.doi.org/10.1299/spacee.1.1.

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5

Muhammad, Irshad Zahoor Naveed Ur Rehman Fakhar Abbas SaifUllah Adnan. "Case Study of Energy Efficiency in Massive MIMO System." International Journal of Engineering Works 1, no. 2 (2014): 32–37. https://doi.org/10.5281/zenodo.15747.

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By using large-scale antenna arrays, considerable enhancement in energy and spectral efficiency is accomplished. What will be the optimum number of antennas, active users and transmit power? In single cell consequence Zero Forcing (ZF) processing is used to know how the constraints interact. A conjoint belief is transmitter power is enlarged with large number of antennas that means EE-systems can operate in high Signal to noise ratio systems where interference-suppressing signal processing is mandatory. Systematic and arithmetical results show that, Massive MIMO is the solution to get maximum
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6

Bai, Jing, Zhizhong Mao, and Tiecheng Pu. "Recursive identification for multi-input–multi-output Hammerstein–Wiener system." International Journal of Control 92, no. 6 (2017): 1457–69. http://dx.doi.org/10.1080/00207179.2017.1397751.

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7

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 (2020): 377. http://dx.doi.org/10.15866/irecap.v10i6.19374.

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8

Mei, Z., Z. Yang, L. Wu, and X. Li. "Probabilistic data association detectors for multi-input multi-output relaying system." IET Communications 5, no. 4 (2011): 534–41. http://dx.doi.org/10.1049/iet-com.2010.0294.

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9

Tomiyama, Shigenori, Norio Kojima, Takenobu Matsuura, and Toshio Shinozaki. "A state equation approximation for a multi-input/multi-output system." Electronics and Communications in Japan (Part I: Communications) 68, no. 10 (1985): 39–48. http://dx.doi.org/10.1002/ecja.4410681005.

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10

Bayrak, Alper, Firat Dogan, Enver Tatlicioglu, and Barbaros Ozdemirel. "Design of an experimental twin-rotor multi-input multi-output system." Computer Applications in Engineering Education 23, no. 4 (2015): 578–86. http://dx.doi.org/10.1002/cae.21628.

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11

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 (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 dev
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12

Rahimi, Baharom, and Shukri Mohd Ghazali Mohd. "Development of multi-input multi-output converter for decarbonization energy system." Development of multi-input multi-output converter for decarbonization energy system 15, no. 1 (2024): 271–80. https://doi.org/10.11591/ijpeds.v15.i1.pp271-280.

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ecarbonization 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 deve
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13

Wang, Z., A. Behal, and P. Marzocca. "Robust Adaptive Output Feedback Control Design for a Multi-Input Multi-Output Aeroelastic System." International Journal of Aeronautical and Space Sciences 12, no. 2 (2011): 179–89. http://dx.doi.org/10.5139/ijass.2011.12.2.179.

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14

ZHENG, G., D. BOUTAT, T. FLOQUET, and J. P. BARBOT. "SECURE DATA TRANSMISSION BASED ON MULTI-INPUT MULTI-OUTPUT DELAYED CHAOTIC SYSTEM." International Journal of Bifurcation and Chaos 18, no. 07 (2008): 2063–72. http://dx.doi.org/10.1142/s0218127408021567.

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This paper deals with the problem of secure data transmission based on multi-input multi-output delayed chaotic systems. A new multi-input secure data transmission scheme is proposed. Moreover, in order to increase again the robustness of secure data transmission, delays are introduced as a second firewall against known plain-text attack. With this method, the parameters used as secret keys of the system are not identifiable and, as a result, the proposed scheme is robust to known plain-text attacks.
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15

Benchabane, Achour, and Noureddine Bali. "Decentralised nonlinear predictive control for twin rotor multi-input multi-output system." International Journal of Modelling, Identification and Control 39, no. 3 (2021): 257. http://dx.doi.org/10.1504/ijmic.2021.123489.

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16

Bali, Noureddine, and Achour Benchabane. "Decentralised nonlinear predictive control for twin rotor multi-input multi-output system." International Journal of Modelling, Identification and Control 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijmic.2021.10045637.

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17

Kotta, Ü., M. Tõnso, and Y. Kawano. "Polynomial accessibility condition for the multi-input multi-output nonlinear control system." Proceedings of the Estonian Academy of Sciences 63, no. 2 (2014): 136. http://dx.doi.org/10.3176/proc.2014.2.04.

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18

Abed-Meraim, K., and Yingbo Hua. "Blind identification of multi-input multi-output system using minimum noise subspace." IEEE Transactions on Signal Processing 45, no. 1 (1997): 254–58. http://dx.doi.org/10.1109/78.552225.

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19

MURAMATSU, Eiichi, Satoshi NISHINO, and Masao IKEDA. "Stabilization of a Multi-Input Multi-Output System with Variable Operating Conditions." Transactions of the Institute of Systems, Control and Information Engineers 9, no. 4 (1996): 188–96. http://dx.doi.org/10.5687/iscie.9.188.

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20

Malekshahi, Ahmad, Mehdi Mirzaei, and Sajjad Aghasizade. "Non-Linear Predictive Control of Multi-Input Multi-Output Vehicle Suspension System." Journal of Low Frequency Noise, Vibration and Active Control 34, no. 1 (2015): 87–105. http://dx.doi.org/10.1260/0263-0923.34.1.87.

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21

Jin, Yang, Li Xiang, and Chen Haowen. "Fractal detector design and analysis for multi-input multi-output radar system." IET Science, Measurement & Technology 10, no. 3 (2016): 207–14. http://dx.doi.org/10.1049/iet-smt.2015.0069.

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22

Hillis, A. J. "Multi-input multi-output control of an automotive active engine mounting system." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 225, no. 11 (2011): 1492–504. http://dx.doi.org/10.1177/0954407011407701.

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This paper describes the control of automotive active engine mounts, consisting of a conventional passive hydraulic mount and an internal electromagnetic actuator. The actuator generates a force dependent on a control signal from an algorithm implemented in real time. The filtered- x least-mean-square (FXLMS) adaptive filter is applied to a system of two active mounts fitted to a saloon car equipped with a four-cylinder turbo-diesel engine. The steady state and transient performance of the active system is experimentally evaluated, and is found to typically reduce chassis vibration by 50 per c
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23

Zhai, Yu-jia, Yan Sun, Ke-jun Qian, and Sang-hyuk Lee. "A multi-input and multi-output design on automotive engine management system." Journal of Central South University 22, no. 12 (2015): 4687–92. http://dx.doi.org/10.1007/s11771-015-3019-3.

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24

Bradshaw, A., P. Konnanov, and MA Woodhead. "Minimal M68000 system controllers for fast-acting multi-input multi-output processes." Microprocessors and Microsystems 10, no. 3 (1986): 148–55. http://dx.doi.org/10.1016/0141-9331(86)90095-5.

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25

Huang, Zhijian, Jie Ma, and He Huang. "An approximate dynamic programming method for multi-input multi-output nonlinear system." Optimal Control Applications and Methods 34, no. 1 (2011): 80–95. http://dx.doi.org/10.1002/oca.1031.

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26

Noshadi, Amin, Juan Shi, Wee Sit Lee, Peng Shi, and Akhtar Kalam. "System Identification and Robust Control of Multi-Input Multi-Output Active Magnetic Bearing Systems." IEEE Transactions on Control Systems Technology 24, no. 4 (2016): 1227–39. http://dx.doi.org/10.1109/tcst.2015.2480009.

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27

Deutschmann, Bastian, Concepción A. Monje, and Christian Ott. "Multi-input multi-output fractional-order control of an underactuated continuum mechanism." International Journal of Advanced Robotic Systems 17, no. 6 (2020): 172988142096957. http://dx.doi.org/10.1177/1729881420969578.

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This article treats the design and implementation of a multi-input multi-output fractional-order controller for a nonlinear system composed of a tendon-driven continuum mechanism. As the continuum can be deformed along all Cartesian directions, it is suitable for the application as a flexible neck of a humanoid robot. In this work, a model-based control approach is proposed to control the position of the head, that is, the rigid body attached to the top of the continuum mechanism. Herein, the system is modeled as a rigid body on top of a nonlinear Cartesian spring, with an experimentally obtai
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28

Faris, Farah, Abdelkrim Moussaoui, Boukhetala Djamel, and Tadjine Mohammed. "Design and real-time implementation of a decentralized sliding mode controller for twin rotor multi-input multi-output system." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 231, no. 1 (2017): 3–13. http://dx.doi.org/10.1177/0959651816680457.

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The article deals with a real-time implementation of a decentralized sliding mode controller applied to a twin rotor multi-input multi-output system, a system with 2 degrees of freedom, strongly coupled and its dynamic resembles that of a helicopter. The work is motivated by the fact that in the literature several control techniques have been proposed for the twin rotor multi-input multi-output system control without being applied to the system, and the considered authors presented just the simulation results. To control the vertical and horizontal positions of the twin rotor multi-input multi
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29

Asanov, A. Z., and D. N. Dem’yanov. "Synthesis of input/output matrices for a multi-input multi-output dynamical system by given zeros of transfer matrix." Journal of Computer and Systems Sciences International 47, no. 6 (2008): 841–50. http://dx.doi.org/10.1134/s1064230708060014.

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30

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 (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
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31

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

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Transmit antennas are chosen in multi-input-multi-output (MIMO) systems. Effective in improving system capacity while lowering RF connection costs and simplifying the system. Complete method with greatest accuracy for joint transmits and receive antenna selection (JTRAS), capable of scanning all subsets of both transmitting and receiving antennas for the optimal solution. However, when as the number of antennas but also computational complexity increase grows too great, limiting its application. Antennas are coded fractionally channel capacity maximizing coding is used as a basic criterion in
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32

Mutlaq, Ali Hlal, Mohammed Ayad Saad, Faris Hassan Tata Aldabbagh, and Ghanim Thiab Hasan. "Analysis the efficiency of multi-input-multi-output (MIMO) transmit receive systems." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2023): 190–96. https://doi.org/10.11591/ijeecs.v29.i1.pp190-196.

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Transmit antennas are chosen in multi-input-multi-output (MIMO) systems. Effective in improving system capacity while lowering RF connection costs and simplifying the system. Complete method with greatest accuracy for joint transmits and receive antenna selection (JTRAS), capable of scanning all subsets of both transmitting and receiving antennas for the optimal solution. However, when as the number of antennas but also computational complexity increase grows too great, limiting its application. Antennas are coded fractionally channel capacity maximizing coding is used as a basic criterion in
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33

Sakanushi, Tatsuya, Kou Yamada, Yoshinori Ando, Tuan Manh Nguyen, and Shun Matsuura. "A Design Method for Simple Multi-Period Repetitive Controllers for Multiple-Input/Multiple-Output Plants." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 1 (2010): 202–11. http://dx.doi.org/10.37936/ecti-eec.201191.172482.

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The multi-period repetitive control system is a type of servomechanism for a periodic reference input. Even if a plant does not include time-delays, using multi-period repetitive controllers, the transfer function from the periodic reference input to the output and that from the disturbance to the output of the multi-period repetitive control system generally have infinite numbers of poles. To specify the input-output characteristic and the disturbance attenuation characteristic easily, Yamada and Takenaga proposed the concept of simple multi-period repetitive control systems, such that the co
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34

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 (2014): 18226–35. http://dx.doi.org/10.1021/ie503641c.

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35

Havlena, V. "Adaptive Kalman Filter for a Time-varying Multi-input Multi-output ARMAX System." IFAC Proceedings Volumes 26, no. 2 (1993): 341–44. http://dx.doi.org/10.1016/s1474-6670(17)49140-3.

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36

Huang, Zhijian, Yanyan Zhang, Yihua Liu, and Guichen Zhang. "Four actor-critic structures and algorithms for nonlinear multi-input multi-output system." Neurocomputing 330 (February 2019): 172–87. http://dx.doi.org/10.1016/j.neucom.2018.10.072.

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37

Yang, Q. J., P. Q. Zhang, C. Q. Li, and X. P. Wu. "A system theory approach to multi-input multi-output modal parameters identification methods." Mechanical Systems and Signal Processing 8, no. 2 (1994): 159–74. http://dx.doi.org/10.1006/mssp.1994.1014.

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38

Tomaru, Takao, and Yasuchika Mori. "Design of multi-input multi-output delay time control system with feedforward compensation." Electrical Engineering in Japan 176, no. 4 (2011): 34–44. http://dx.doi.org/10.1002/eej.21118.

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39

Sakanushi, Tatsuya, Kou Yamada, Iwanori Murakami, Jie Hu, and Shun Matsuura. "A Design Method for Robust Stabilizing Simple Multi-Period Repetitive Controllers for Multiple-Input/Multiple-Output Plants." ECTI Transactions on Electrical Engineering, Electronics, and Communications 10, no. 1 (2011): 25–37. http://dx.doi.org/10.37936/ecti-eec.2012101.170454.

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The multi-period repetitive control system is type of servomechanism for a periodic reference input. Even if a plant does not include time-delays, using multi-period repetitive controllers, the transfer function from the periodic reference input to the output and that from the disturbance to the output of the multi-period repetitive control system generally have infinite numbers of poles. To specify the input-output characteristic and the disturbance attenuation characteristic easily, Yamada and Takenaga proposed the concept of simple multi-period repetitive control systems, such that the cont
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40

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 (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 sys
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41

Gasbaoui, Brahim, and Abdelfatah Nasri. "A novel multi-drive electric vehicle system control based on multi-input multi-output PID controller." Serbian Journal of Electrical Engineering 9, no. 2 (2012): 279–91. http://dx.doi.org/10.2298/sjee1202279g.

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42

Yamada, Kou, Nobuaki Nakazawa, Tatsuya Sakanushi, Shun Yamamoto, and Nhan Luong Thanh Nguyen. "The Parameterization of All Stabilizing Multi-Period Repetitive Controllers for Multiple-Input/Multiple-Output Plants With the Specified Input-Output Frequency Characteristic." ECTI Transactions on Electrical Engineering, Electronics, and Communications 9, no. 1 (2010): 133–41. http://dx.doi.org/10.37936/ecti-eec.201191.172461.

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In this paper, we examine the parameterization of all stabilizing multi-period repetitive controllers for multiple-input/multiple-output plants with the specified input-output frequency characteristic. The parameterization of all stabilizing multi-period repetitive controllers, those are used to improve the disturbance attenuation characteristics of the repetitive controller, for non-minimum phase systems was solved by Yamada et al. However, when we design a stabilizing multi-period repetitive controller using the parameterization by Yamada et al., the input-output frequency characteristic of
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43

Yamada, Kou, Yoshinori Ando, Takaaki Hagiwara, Masahiko Kobayashi, and Tatsuya Sakanushi. "A Design Method for Robust Stabilizing Simple Multi-Period Repetitive Controllers for Time-Delay Plants." ECTI Transactions on Electrical Engineering, Electronics, and Communications 8, no. 1 (2009): 11–21. http://dx.doi.org/10.37936/ecti-eec.201081.171983.

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A multi-period repetitive control system is a type of servomechanism for a periodic reference input. Even if a plant does not include time-delay, the transfer function from the periodic reference input to the output and that from the disturbance to the output of the multi-period repetitive control system generally have an in¯nite number of poles. When the transfer function from the periodic reference input to the output and that from the disturbance to the output have an in¯nite number of poles, it is difficult to settle the input-output characteristic and the disturbance attenuation character
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44

Yang, Xiaoyan, Jianwei Cui, Dazhong Lao, Donghai Li, and Junhui Chen. "Input Shaping enhanced Active Disturbance Rejection Control for a twin rotor multi-input multi-output system (TRMS)." ISA Transactions 62 (May 2016): 287–98. http://dx.doi.org/10.1016/j.isatra.2016.02.001.

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45

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 (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,
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46

Umaz, Ridvan. "A Multi-Input Multi-Output Energy Harvesting Architecture for Microbial Fuel Cell." Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 14, no. 1 (2025): 1–12. https://doi.org/10.17798/bitlisfen.1491127.

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This paper presents an energy harvesting architecture that accommodates two microbial energy sources and delivers power supply synchronously to two loads. The proposed architecture enables the maximum power extraction from the first energy source, whereas the second source is disabled. However, once the first energy source is impaired (i.e., not working), the second energy source becomes the primary energy source in the architecture, and the first energy source is decoupled from the system. The measurement result of the proposed architecture, implemented with the off-the-shelf components and t
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47

Chowdhuri, Swati, Sayan Chakraborty, Nilanjan Dey, et al. "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 (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 catego
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48

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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49

Tomaru, Takao, and Yasuchika Mori. "Design Method of Multi-Input Multi-Output Delay Time Control System with Feedforward Compensation." IEEJ Transactions on Electronics, Information and Systems 129, no. 1 (2009): 172–80. http://dx.doi.org/10.1541/ieejeiss.129.172.

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50

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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