Adaptive control with recurrent high-order neural networks : theory and industrial applications

George A. Rovithakis and Manoulis A. Christodoulou

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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[目次]

  • Recurrent high-order neural network (RHONN) structure and approximation capabilities
  • indirect adaptive control
  • direct adaptive control
  • manufacturing sytems scheduling
  • scheduling using RHONNs - a test case.

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この本の情報

書名 Adaptive control with recurrent high-order neural networks : theory and industrial applications
著作者等 Christodoulou, Manoulis A.
Rovithakis, George A.
Christodoulou Manoulis A. (Department of Electronic and Computer Engineering Technical University of Crete Greece)
シリーズ名 Advances in industrial control
出版元 Springer
刊行年月 2000
ページ数 xii, 194 p.
大きさ 25cm
ISBN 1852336234
NCID BA44906596
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言語 英語
出版国 イギリス
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