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Journal articles on the topic 'Model reference control systems'

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Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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1

Zhao, Pengfei, Cai Liu, and Xuan Feng. "Model Reference Control of Hyperchaotic Systems." Journal of Applied Mathematics 2012 (2012): 1–19. http://dx.doi.org/10.1155/2012/252487.

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We have applied a famous engineering method, called model reference control, to control hyperchaos. We have proposed a general description of the hyperchaotic system and its reference system. By using the Lyapunov stability theorem, we have obtained the expression of the controller. Four examples for the both certain case and the uncertain case show that our method is very effective for controlling hyperchaotic systems with both certain parameters and uncertain parameters.

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2

Abdullah, Ali, and Mohamed Zribi. "Model reference control of LPV systems." Journal of the Franklin Institute 346, no. 9 (November 2009): 854–71. http://dx.doi.org/10.1016/j.jfranklin.2009.04.006.

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3

Uçar, Ahmet. "Model-reference control of chaotic systems." Chaos, Solitons & Fractals 31, no. 3 (February 2007): 712–17. http://dx.doi.org/10.1016/j.chaos.2005.10.040.

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4

LEE, BORE-KUEN, BOR-SEN CHEN, and YU-PING LIN. "Model reference deadbeat control." International Journal of Control 54, no. 5 (November 1991): 1217–31. http://dx.doi.org/10.1080/00207179108934206.

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5

KOBAYASHI, TOSHIHIRO. "Model reference adaptive control for spectral systems." International Journal of Control 46, no. 5 (November 1987): 1511–23. http://dx.doi.org/10.1080/00207178708933991.

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6

Ambrose, H., and Z. Qu. "Model reference robust control for MIMO systems." International Journal of Control 68, no. 3 (January 1997): 599–624. http://dx.doi.org/10.1080/002071797223541.

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7

Proskurnikov, A. V., and V. A. Yakubovich. "Linear control systems with a reference model." Doklady Mathematics 76, no. 1 (August 2007): 634–37. http://dx.doi.org/10.1134/s1064562407040382.

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8

Golden, Melinda P., and B. Erik Ydstie. "Bifurcation in model reference adaptive control systems." Systems & Control Letters 11, no. 5 (November 1988): 413–30. http://dx.doi.org/10.1016/0167-6911(88)90101-6.

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9

Javadi Moghaddam, Jalal, Ghasem Zarei, Davood Momeni, and Hamideh Faridi. "Non-linear control model for use in greenhouse climate control systems." Research in Agricultural Engineering 68, No. 1 (March 23, 2022): 9–17. http://dx.doi.org/10.17221/37/2021-rae.

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In this study, a non-linear control system was designed and proposed to control the greenhouse climate conditions. This control system directly uses the information of sensors, installed inside and outside the greenhouse. To design this proposed control system, the principles of a non-linear control system and the concepts of equilibrium points and zero dynamics of system theories were used. To show the capability and applicability of the proposed control system, it was compared with an integral sliding mode controller. A greenhouse with similar climatic conditions was used to simulate the performance of the integral sliding mode controller. In this study, it was seen that the integral sliding mode control system was more accurate; however, the actuator signals sent by this control system were not smooth. It could damage and depreciate the greenhouse equipment more quickly than the proposed non-linear control system. It was also shown that the regulation of the temperature and humidity was performed very smoothly by changing the reference signals according to the weather conditions outside the greenhouse. The ability of these two control systems was graphically demonstrated for temperature and humidity responses as well as for the signals sent to the actuators.

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10

Shi, Bao, Jian Yuan, and Chao Dong. "On Fractional Model Reference Adaptive Control." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/521625.

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This paper extends the conventional Model Reference Adaptive Control systems to fractional ones based on the theory of fractional calculus. A control law and an incommensurate fractional adaptation law are designed for the fractional plant and the fractional reference model. The stability and tracking convergence are analyzed using the frequency distributed fractional integrator model and Lyapunov theory. Moreover, numerical simulations of both linear and nonlinear systems are performed to exhibit the viability and effectiveness of the proposed methodology.

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11

Skowronski, J. M. "Nonlinear model reference adaptive control." Journal of the Australian Mathematical Society. Series B. Applied Mathematics 28, no. 2 (October 1986): 147–57. http://dx.doi.org/10.1017/s0334270000005269.

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AbstractThe known linear model reference adaptive control (MRAC) technique is extended to cover nonlinear and nonlinearizable systems (several equilibria, etc) and used to stabilize the system about a model. The method proposed applies the same Liapunov Design Technique but avoids the classical error equation. Instead it operates in the product of the state spaces of plant and model, aiming at convergence to a diagonal set. Control program, Liapunov functions and adaptive law are specified. The case is illustrated on a two-degrees of freedom robotic manipulator.

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12

Mufti, I. H. "Model reference adaptive control for large structural systems." Journal of Guidance, Control, and Dynamics 10, no. 5 (September 1987): 507–9. http://dx.doi.org/10.2514/3.20248.

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13

Böhm, Michael, M. A. Demetriou, Simeon Reich, and I. G. Rosen. "Model Reference Adaptive Control of Distributed Parameter Systems." SIAM Journal on Control and Optimization 36, no. 1 (January 1998): 33–81. http://dx.doi.org/10.1137/s0363012995279717.

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14

Pourboghrat, Farzad, and George Vlastos. "Model reference adaptive sliding control for linear systems." Computers & Electrical Engineering 28, no. 5 (September 2002): 361–74. http://dx.doi.org/10.1016/s0045-7906(00)00055-0.

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15

Wen, J. "Robust Model Reference Control for Distributed Parameter Systems." IFAC Proceedings Volumes 20, no. 1 (June 1987): 241–45. http://dx.doi.org/10.1016/s1474-6670(17)59306-4.

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16

Miller, Daniel E. "Model reference adaptive control for nonminimum phase systems." Systems & Control Letters 26, no. 3 (October 1995): 167–76. http://dx.doi.org/10.1016/0167-6911(95)00012-x.

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17

Biemans, Frank P., and Chris A. Vissers. "Reference model for manufacturing planning and control systems." Journal of Manufacturing Systems 8, no. 1 (January 1989): 35–46. http://dx.doi.org/10.1016/0278-6125(89)90018-6.

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18

Spurgeon, S. K., and R. J. Patton. "Robust variable structure control of model reference systems." IEE Proceedings D Control Theory and Applications 137, no. 6 (1990): 341. http://dx.doi.org/10.1049/ip-d.1990.0045.

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19

Mirkin, Boris, and Per-Olof Gutman. "Tube model reference adaptive control." Automatica 49, no. 4 (April 2013): 1012–18. http://dx.doi.org/10.1016/j.automatica.2013.01.022.

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20

CHEN, CHAIO-SHIUNG, and WEN-LIANG CHEN. "Robust model reference adaptive control of nonlinear systems using fuzzy systems." International Journal of Systems Science 27, no. 12 (December 1996): 1435–42. http://dx.doi.org/10.1080/00207729608929349.

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21

L'Afflitto, Andrea, and Timothy A. Blackford. "Constrained dynamical systems, robust model reference adaptive control, and unreliable reference signals." International Journal of Control 93, no. 5 (June 30, 2018): 1039–52. http://dx.doi.org/10.1080/00207179.2018.1489147.

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22

Yeung, K. S., W. D. Chung, and H. Yu. "Identifier-tracking model reference adaptive control." International Journal of Control 81, no. 6 (June 2008): 976–88. http://dx.doi.org/10.1080/00207170701613681.

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23

Aleksandrov, A. G. "Reference-Model Adaptive Control under External Disturbances." Automation and Remote Control 65, no. 5 (May 2004): 755–67. http://dx.doi.org/10.1023/b:aurc.0000028323.83877.dc.

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24

OYA, Masahiro, Yukio NISHIMURA, and Yoh YONEZAWA. "Model Reference Control for a Class of Nonlinear Systems." Transactions of the Society of Instrument and Control Engineers 25, no. 7 (1989): 779–85. http://dx.doi.org/10.9746/sicetr1965.25.779.

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25

Hoecht, L., T. Bierling, and F. Holzapfel. "Ultimate Boundedness Theorem for Model Reference Adaptive Control Systems." Journal of Guidance, Control, and Dynamics 37, no. 5 (September 2014): 1595–603. http://dx.doi.org/10.2514/1.g000324.

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26

di Bernardo, Mario, Umberto Montanaro, and Stefania Santini. "Hybrid Model Reference Adaptive Control of Piecewise Affine Systems." IEEE Transactions on Automatic Control 58, no. 2 (February 2013): 304–16. http://dx.doi.org/10.1109/tac.2012.2212516.

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27

Sunwoo, M., K. C. Cheok, and N. J. Huang. "Model reference adaptive control for vehicle active suspension systems." IEEE Transactions on Industrial Electronics 38, no. 3 (June 1991): 217–22. http://dx.doi.org/10.1109/41.87590.

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28

WATANABE, Ryo, Daisuke KATAYAMA, and Kenko UCHIDA. "Robust Model Reference Control Systems with Online Adjustable Parameters." Transactions of the Institute of Systems, Control and Information Engineers 15, no. 8 (2002): 387–95. http://dx.doi.org/10.5687/iscie.15.387.

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29

YU, XINGHUO, and ZHIHONG MAN. "Model reference adaptive control systems with terminal sliding modes." International Journal of Control 64, no. 6 (August 1996): 1165–76. http://dx.doi.org/10.1080/00207179608921680.

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30

Albus, James S., and Fred G. Proctor. "A Reference Model Architecture for Intelligent Hybrid Control Systems." IFAC Proceedings Volumes 29, no. 1 (June 1996): 4905–10. http://dx.doi.org/10.1016/s1474-6670(17)58458-x.

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31

Tomov, I. I., and K. I. Kolev. "Microcomputer Simulation of Robust Model Reference Adaptive Control Systems." IFAC Proceedings Volumes 20, no. 12 (September 1987): 205–10. http://dx.doi.org/10.1016/s1474-6670(17)55631-1.

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32

Orlov, Yu. "Discontinuous Model Reference Adaptive Control of Distributed Parameter Systems." IFAC Proceedings Volumes 32, no. 2 (July 1999): 4535–40. http://dx.doi.org/10.1016/s1474-6670(17)56773-7.

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33

M'Saad, M., and G. Sanchez. "Partial state reference model adaptive control of multivariable systems." Automatica 28, no. 6 (November 1992): 1189–97. http://dx.doi.org/10.1016/0005-1098(92)90060-s.

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34

Cunha, José Paulo V. S., and Ramon R. Costa. "Model-reference impedance and admittance control of linear systems." International Journal of Adaptive Control and Signal Processing 30, no. 8-10 (January 14, 2016): 1317–32. http://dx.doi.org/10.1002/acs.2661.

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35

Tayebi, A. "Model reference adaptive iterative learning control for linear systems." International Journal of Adaptive Control and Signal Processing 20, no. 9 (2006): 475–89. http://dx.doi.org/10.1002/acs.913.

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36

Kovačić, Zdenko, and Stjepan Bogdan. "Model reference adaptive fuzzy control of high-order systems." Engineering Applications of Artificial Intelligence 7, no. 5 (October 1994): 501–11. http://dx.doi.org/10.1016/0952-1976(94)90029-9.

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37

Xie, Jing, Shujiang Li, Hua Yan, and Dong Yang. "Model reference adaptive control for switched linear systems using switched multiple models control strategy." Journal of the Franklin Institute 356, no. 5 (March 2019): 2645–67. http://dx.doi.org/10.1016/j.jfranklin.2018.10.036.

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38

Lightbody, G., and G. W. Irwin. "Direct neural model reference adaptive control." IEE Proceedings - Control Theory and Applications 142, no. 1 (January 1, 1995): 31–43. http://dx.doi.org/10.1049/ip-cta:19951613.

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39

Aguirre, L. A. "Robust Reference Models for Delayed Systems." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 208, no. 3 (August 1994): 197–99. http://dx.doi.org/10.1243/pime_proc_1994_208_328_02.

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This note is concerned with the design of open-loop reference models which lead to robust closed-loop control systems. A simple criterion is used to find the reference models in the frequency domain. The search is greatly facilitated by considering low-order reference models which are appropriate in approximate model matching problems. Numerical examples are provided.

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40

Xie, Jing, and Jun Zhao. "H∞ model reference adaptive control for switched systems based on the switched closed-loop reference model." Nonlinear Analysis: Hybrid Systems 27 (February 2018): 92–106. http://dx.doi.org/10.1016/j.nahs.2017.07.003.

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41

SUNG, DAVID J. T., and TSU-TIAN LEE. "Model reference adaptive control of non-linear systems using the Wiener model." International Journal of Systems Science 18, no. 3 (January 1987): 581–99. http://dx.doi.org/10.1080/00207728708963990.

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42

Hakvoort, W. B. J., G. J. Boerrigter, and M. A. Beijen. "Active vibration isolation by model reference adaptive control." IFAC-PapersOnLine 53, no. 2 (2020): 9144–49. http://dx.doi.org/10.1016/j.ifacol.2020.12.2157.

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43

Marc, Berneman, Pintelon Rik, and Lataire John. "A Frequency Domain Approach to Model Reference Control." IFAC-PapersOnLine 54, no. 7 (2021): 216–21. http://dx.doi.org/10.1016/j.ifacol.2021.08.361.

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44

Johnson, Helen M. "Model reference adaptive control of a nonlinear oscillator." Dynamics and Control 2, no. 4 (October 1992): 349–62. http://dx.doi.org/10.1007/bf02172221.

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45

Seraji, H. "Simple method for model reference adaptive control." International Journal of Control 49, no. 1 (January 1989): 367–71. http://dx.doi.org/10.1080/00207178908559638.

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46

CHIANG, CHIANG-CHENG. "Novel approach to model reference adaptive control." International Journal of Control 53, no. 6 (June 1991): 1327–41. http://dx.doi.org/10.1080/00207179108953678.

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47

MIYASATO, Yoshihiko. "Model-Reference Adaptive Control for Attasi-Type Two-Dimensional Systems." Transactions of the Society of Instrument and Control Engineers 22, no. 5 (1986): 514–20. http://dx.doi.org/10.9746/sicetr1965.22.514.

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48

Kazantsev, V. P., D. A. Dadenkov, and R. Yu Yudin. "A Reference Model for the Motion of Electromechanical Control Systems." Russian Electrical Engineering 90, no. 11 (November 2019): 729–33. http://dx.doi.org/10.3103/s1068371219110051.

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49

MIYASATO, Yoshihiko. "Model Reference Adaptive Control for Nonlinear Systems with Unknown Degrees." Transactions of the Society of Instrument and Control Engineers 31, no. 3 (1995): 324–33. http://dx.doi.org/10.9746/sicetr1965.31.324.

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50

YAMANAKA, Osamu, Hiromitsu OHMORI, and Akira SANO. "A Nonlinear Model Reference Adaptive Control Design for Hammerstein Systems." Transactions of the Society of Instrument and Control Engineers 33, no. 2 (1997): 94–102. http://dx.doi.org/10.9746/sicetr1965.33.94.

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