A Study of Adaptive Control Based on CMAC Neural Network : Design and Application for Unknown Nonlinear System

Language: English

Published by VDM Verlag Dr. Müller, 2009

3639139399 / 9783639139396

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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

Title
A Study of Adaptive Control Based on CMAC Neural Network : Design and Application for Unknown Nonlinear System
Author
Cheng Ching-Lung
Publisher
VDM Verlag Dr. Müller
Publication year
2009
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3639139399
ISBN 13
9783639139396
Dimensions
220x176x33 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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