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Relevant bibliographies by topics / Model reference control systems

Academic literature on the topic 'Model reference control systems'

Author: Grafiati

Published: 10 December 2022

Last updated: 19 February 2023

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Journal articles on the topic "Model reference control systems"

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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Model reference control systems"

1

Zhang, Guoming. "Model reference control for nonlinear plants." Thesis, University of Manchester, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314208.

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Harvey, Seth A. "Spacecraft attitude control using direct model reference adaptive control." Laramie, Wyo. : University of Wyoming, 2008. http://proquest.umi.com/pqdweb?did=1594485351&sid=1&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Camara, C. D. J. "Plant identification using model reference techniques." Thesis, University of Cape Town, 1987. http://hdl.handle.net/11427/23544.

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Gandana, Danny M. "Design and implementation of model-reference neural control systems." Thesis, University of Salford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308113.

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Messer, Richard Scott. "Analytical and experimental study of control effort associated with model reference adaptive control." Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-165637/.

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Orlicki, David Mark. "Model reference adaptive control systems using a dead zone non-linearity." Thesis, Massachusetts Institute of Technology, 1985. http://hdl.handle.net/1721.1/15226.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1985.
MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING.
Includes bibliographical references.
by David Mark Orlicki.
Ph.D.

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7

Plaisted, Clinton. "DESIGN OF AN ADAPTIVE AUTOPILOT FOR AN EXPENDABLE LAUNCH VEHICLE." Master's thesis, University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2834.

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This study investigates the use of a Model Reference Adaptive Control (MRAC) direct approach to solve the attitude control problem of an Expendable Launch Vehicle (ELV) during its boost phase of flight. The adaptive autopilot design is based on Lyapunov Stability Theory and provides a useful means for controlling the ELV in the presence of environmental and dynamical uncertainties. Several different basis functions are employed to approximate the nonlinear parametric uncertainties in the system dynamics. The control system is designed so that the desire dresponse to a reference model would be tracked by the closed-loop system. The reference model is obtained via the feedback linearization technique applied to the nonlinear ELV dynamics. The adaptive control method is then applied to a representative ELV longitudinal motion, specifically the 6th flight of Atlas-Centaur launch vehicle (AC-6) in 1965. The simulation results presented are compared to that of the actual AC-6 post-flight trajectory reconstruction. Recommendations are made for modification and future applications of the method for several other ELV dynamics issues, such as control saturation, engine inertia, flexible body dynamics, and sloshing of liquid fuels.
M.S.A.E.
Department of Mechanical, Materials and Aerospace Engineering
Engineering and Computer Science
Aerospace Engineering MSAE

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Velasquez, Garrido Jose J. "Fuzzy Model Reference Learning Control for Smart Lights." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1364242984.

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Figueredo, Kenny Robert Agnelo. "Application of microprocessor based model reference adaptive control to servosystems." Thesis, University of Bath, 1987. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380941.

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Patel, Bhagirath. "Model reference adaptive control system using frequency domain performance specifications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0023/MQ52071.pdf.

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Books on the topic "Model reference control systems"

1

Model reference adaptive control of manipulators. Taunton, Somerset, England: Research Studies Press, 1990.

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2

Albus, James Sacra. 4-D/RCS, a reference model architecture for Demo III. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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Albus, James Sacra. 4-D/RCS, a reference model architecture for Demo III. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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Albus, James Sacra. 4-D/RCS, a reference model architecture for Demo III. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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Albus, James Sacra. 4-D/RCS, a reference model architecture for Demo III. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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6

Albus, James Sacra. 4-D/RCS, a reference model architecture for Demo III. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.

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7

Albus, James Sacra. NASA/NBS Standard Reference Model for telerobot control system architecture (NASREM). Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1989.

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Albus, James Sacra. NASA/NBS Standard Reference Model for telerobot control system architecture (NASREM). Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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9

Arms, Angela D. Reference physiological parameters in pharmacokinetic modeling. Washington, DC: U.S. Environmental Protection Agency, Office of Health and Environmental Assessment, 1988.

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Maeland, Jahn Andreas. Model-reference neural control. Salford: University of Salford, 1994.

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Book chapters on the topic "Model reference control systems"

1

Nguyen, Nhan T. "Nonlinear Systems." In Model-Reference Adaptive Control, 17–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56393-0_2.

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2

Sun, Jing. "Model Reference Adaptive Control." In Encyclopedia of Systems and Control, 729–34. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_116.

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Sun, Jing. "Model Reference Adaptive Control." In Encyclopedia of Systems and Control, 1–7. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_116-1.

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Sun, Jing. "Model Reference Adaptive Control." In Encyclopedia of Systems and Control, 1252–56. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_116.

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Mareels, Iven, and Jan Willem Polderman. "Direct Adaptive Model Reference Control." In Adaptive Systems, 139–71. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-0-8176-8142-5_5.

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6

Okuyama, Yoshifumi. "Model Reference Feedback and PID Control." In Discrete Control Systems, 109–45. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5667-3_4.

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Ince, A. Nejat, Cem Evrendilek, Dag Wilhelmsen, and Fadıl Gezer. "Reference Model." In Planning and Architectural Design of Modern Command Control Communications and Information Systems, 65–71. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6159-0_4.

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Li, Zhijun, Chenguang Yang, and Liping Fan. "Optimized Model Reference Adaptive Control." In Advanced Control of Wheeled Inverted Pendulum Systems, 175–91. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-2963-9_8.

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Fischle, Kurt. "Stable Model Reference Neurocontrol." In Intelligent Observer and Control Design for Nonlinear Systems, 235–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04117-8_11.

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Patel, Ravi, Dipankar Deb, Rajeeb Dey, and Valentina E. Balas. "Model Reference Adaptive Control of Microbial Fuel Cells." In Intelligent Systems Reference Library, 109–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18068-3_10.

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Conference papers on the topic "Model reference control systems"

1

Qizhi Wang, Xiaoxia Wang, and Zhiren Cai. "Model reference based on sliding mode control." In 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009). IEEE, 2009. http://dx.doi.org/10.1109/icicisys.2009.5358283.

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Banerjee, J. S. "Multivariable model reference fuzzy adaptive control." In IEE Seminar Learning Systems for Control. IEE, 2000. http://dx.doi.org/10.1049/ic:20000351.

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Goel, Raghavv, and Sayan Basu Roy. "Closed-loop Reference Model based Distributed Model Reference Adaptive Control for Multi-agent Systems." In 2021 American Control Conference (ACC). IEEE, 2021. http://dx.doi.org/10.23919/acc50511.2021.9483063.

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Guo, Jiaxing, and Niklas Karlsson. "Model reference adaptive control of advertising systems." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963807.

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Ambrose, H., and Z. Qu. "Model reference robust control for MIMO systems." In Proceedings of 16th American CONTROL Conference. IEEE, 1997. http://dx.doi.org/10.1109/acc.1997.611816.

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Dey, Rajiv, Bharat Verma, Sachin K. Jain, and Prabin K. Padhy. "Fast adaptation model reference adaptive control." In 2017 4th International Conference on Power, Control & Embedded Systems (ICPCES). IEEE, 2017. http://dx.doi.org/10.1109/icpces.2017.8117657.

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Yue-Ming Hu, Da-Ke Zhang, and Chun-Yi Su. "Model-reference sliding mode control for systems with hysteresis." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1254734.

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Efe, Mehmet Onder. "Model reference sliding mode control for bioreactor benchmark problem." In 2008 International Workshop on Variable Structure Systems (VSS 2008). IEEE, 2008. http://dx.doi.org/10.1109/vss.2008.4570735.

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Yang, Hao, and Lihui Yang. "Model Reference Adaptive Control Strategy for Dual Active Bridge Converter with Improved Reference Model." In 2022 International Conference on Power Energy Systems and Applications (ICoPESA). IEEE, 2022. http://dx.doi.org/10.1109/icopesa54515.2022.9754459.

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Rodrigues, Victor Hugo Pereira, Liu Hsu, and Tiago Roux Oliveira. "Binary Model Reference Adaptive Control under Disturbances." In 2022 16th International Workshop on Variable Structure Systems (VSS). IEEE, 2022. http://dx.doi.org/10.1109/vss57184.2022.9901711.

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Reports on the topic "Model reference control systems"

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Albus, James Sacra. Concept for a reference model architecture for real-time intelligent control systems :. Gaithersburg, MD: National Bureau of Standards, 1990. http://dx.doi.org/10.6028/nist.tn.1277.

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Albus, James Sacra. Mining automation real-time control system architecture standard reference model (MASREM). Gaithersburg, MD: National Bureau of Standards, 1989. http://dx.doi.org/10.6028/nist.tn.1261.

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Quintero, Richard, and Anthony Barbera. Applying the NIST real-time control system reference model to submarine automation:. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5126.

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Huang, Hui-Min. Outline of a multiple dimensional reference model architecture and a knowledge engineering methodology for intelligent systems control. Gaithersburg, MD: National Institute of Standards and Technology, 1995. http://dx.doi.org/10.6028/nist.ir.5643.

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Hardt, D. E., E. Papadpoulos, and A. Suzuki. Study of reduced order model reference adaptive control systems for improved process control. Final report, May 1, 1982-January 31, 1986. Office of Scientific and Technical Information (OSTI), February 1986. http://dx.doi.org/10.2172/6114568.

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Albus, James S., Harry G. McCain, and Ronald Lumia. NASANBS standard reference model for telerobot control system architecture (NASREM) (supersedes NBS Technical Note 1235 issued July 1987). Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.tn.1235r2.

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Morse, A. S. A 4(n+1)-Dimensional Model Reference Adaptive Control for the Stabilization of any Strictly Proper Minimum Phase Linear Systems with Relative Degree Not Exceeding Two and Dimension Not Exceeding n,. Fort Belvoir, VA: Defense Technical Information Center, June 1985. http://dx.doi.org/10.21236/ada162808.

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Michaloski, John, Richard Quintero, Steven R. Ray, William G. Rippey, and Sarah Wallace. Reference architecture for machine control systems integration:. Gaithersburg, MD: National Institute of Standards and Technology, 1994. http://dx.doi.org/10.6028/nist.ir.5517.

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Candy, J. Model Reference Adaptive Control (MRAC) for Additive Manufacturing. Office of Scientific and Technical Information (OSTI), June 2021. http://dx.doi.org/10.2172/1798434.

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Durling, Mike. Direct Model Reference Adaptive Control for a Magnetic Bearing. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/767405.

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