A Study Of Adaptive Control Based On Cmac Neural Network: Design And Application For Unknown Nonlinear System
Ching-Lung, Cheng; Ching-Lung, Cheng
ISBN 10: 3639139399 ISBN 13: 9783639139396
Published by Vdm Verlag Dr. Müller, 2009
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76 pages. 8.66x5.91x0.18 inches. In Stock. Seller Inventory # 3639139399
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Over the last few years, the study in adaptive intelligent control utilizing Fuzzy, Neural Network for a class of unknown nonlinear systems has attracted considerable attention. In this book, a new hybrid adaptive cerebeller model articulation controller (CMAC) sliding mode control system is developed. The hybrid adaptive CMAC sliding mode controller (HACSMC) uses the direct and indirect adaptive CMAC controllers to perform the equivalent control of sliding mode control (SMC). Two types of methods, sign function switching controller and CMAC switching controller are proposed to design the switching control law of SMC. In addition, the adaptive laws of the control system are derived in the sense of Lyapunov theorem, so that the stability of the system can be guaranteed. Finally, the proposed control system is applied to inverted pendulum system and Chua?s chaotic circuit. The simulation results show that the HACSMC can not only make control system have good tracking performance and strong robustness but also have more flexibility during the design process.
About the Author: Cheng Ching-Lung was born in Taiwan, on October 12, 1980. He received the B. S. degree from Tungnan University and the M.S. degree from Tatung University, Taiwan, both in electrical engineering. Since 2006, he has been an electronic engineer at Shuttle.Inc. His research interests include adaptive control system and artificial intelligence.
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Title: A Study Of Adaptive Control Based On Cmac ...
Publisher: Vdm Verlag Dr. Müller
Publication Date: 2009
Binding: Paperback
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ching-Lung ChengCheng Ching-Lung was born in Taiwan, on October 12, 1980. He nreceived the B. S. degree from Tungnan University and the M.S. ndegree from Tatung University, Taiwan, both in electricalnengineering. Since 2006, he has b. Seller Inventory # 151364977
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A Study of Adaptive Control Based on CMAC Neural Network | Design and Application for Unknown Nonlinear System
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Taschenbuch. Condition: Neu. A Study of Adaptive Control Based on CMAC Neural Network | Design and Application for Unknown Nonlinear System | Cheng Ching-Lung | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639139396 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 113175434
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A Study of Adaptive Control Based on CMAC Neural Network : Design and Application for Unknown Nonlinear System
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the last few years, the study in adaptive intelligent control utilizing Fuzzy, Neural Network for a class of unknown nonlinear systems has attracted considerable attention. In this book, a new hybrid adaptive cerebeller model articulation controller (CMAC) sliding mode control system is developed. The hybrid adaptive CMAC sliding mode controller (HACSMC) uses the direct and indirect adaptive CMAC controllers to perform the equivalent control of sliding mode control (SMC). Two types of methods, sign function switching controller and CMAC switching controller are proposed to design the switching control law of SMC. In addition, the adaptive laws of the control system are derived in the sense of Lyapunov theorem, so that the stability of the system can be guaranteed. Finally, the proposed control system is applied to inverted pendulum system and Chua s chaotic circuit. The simulation results show that the HACSMC can not only make control system have good tracking performance and strong robustness but also have more flexibility during the design process. Seller Inventory # 9783639139396
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