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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
Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primari
Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems f
Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual indus
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology h
In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural net