"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 ofneural
adaptivecontrol, 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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