Adaptive Control With Recurrent High-Order Neural Networks Theory and Industrial Applications
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9781852336233
ISBN:1852336234
Publisher: Springer London, Limited Summary: The primary purpose of this book is to present a set of techniques which allow the design of controllers able to guarantee stability, convergence and robustness for dynamical systems with unknown nonlinearities and of manufacturing systems.To compensate for the significant amount of uncertainty in system structure, a neural network model developed recently, namely the Recurrent High Order Neural Network (RHONN), is e [read more]- 30-Day No-Hassle Returns
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9781852336233
ISBN:
1852336234
Publisher: Springer London, Limited
The primary purpose of this book is to present a set of techniques which allow the design of controllers able to guarantee stability, convergence and robustness for dynamical systems with unknown nonlinearities and of manufacturing systems.To compensate for the significant amount of uncertainty in system structure, a neural network model developed recently, namely the Recurrent High Order Neural Network (RHONN), is employed.Real applications are provided with illustrations and tables for clarification; the book contains material on:- RHONN structure and approximation capabilities- indirect adaptive control- direct adaptive control- scheduling for manufacturing systems- test case for scheduling using RHONNs.The book is primarily intended for industrial and institutional practitioners but should be of significant interest to undergraduate and graduate students and academic scientists working with neural networks and their applications in engineering.
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