Книга Radial Basis Function (RBF) Neural Network Control for Mechanical Systems Jinkun Liu

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems

Design, Analysis and Matlab Simulation

Автор: Jinkun Liu
Език: Английски език
Корици: С твърди корици
Наличност: Външен склад
Изпращаме след 10-13 дни
210.70 412.09 лв
Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need f...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2013
страници
365
EAN
9783642348150
ISBN
3642348157
Enbook ID
01662604
Теглоt
684
Размери
164 x 241 x 27

Пълно описание

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. §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.

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