Radial Basis Function RBF Neural Network Control for Mechanical Systems is popular PDF and ePub book, written by Jinkun Liu in 2013-01-26, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Radial Basis Function RBF Neural Network Control for Mechanical Systems can be Read Online from any device for your convenience.
Radial Basis Function RBF Neural Network Control for Mechanical Systems Book PDF Summary
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.
Detail Book of Radial Basis Function RBF Neural Network Control for Mechanical Systems PDF
- Author : Jinkun Liu
- Release : 26 January 2013
- Publisher : Springer Science & Business Media
- ISBN : 9783642348167
- Genre : Technology & Engineering
- Total Page : 375 pages
- Language : English
- PDF File Size : 14,8 Mb
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