Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.
A Bradford Book. Neural Network Modeling and Connectionism series
About the Editor
Richard S. Sutton is Senior Research Scientist, Department of Computer Science, University of Massachusetts.
—Nick Beard, Computing
"A useful book for students and researchers alike, from any disciplinethat is interested in ANN-based controllers."
—Judy A. Franklin,IEEE Transactions on Neural Networks