现货Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems: Design, Analysis and MATLAB Simulation (2013)[9783642348150]

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上海宝山

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作者Liu, Jinkun

出版社Springer

ISBN9783642348150

出版时间2013-01

装帧精装

纸张其他

页数365页

正文语种英语

上书时间2023-08-14

已实名已认证进店收藏店铺

商品描述: Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design.
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This book is intended for the researchers in the fields of?neural adaptive?control, mechanical systems, Matlab simulation, engineering design, robotics and automation. Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.