Stable Adaptive Neural Network Control - S.S. Ge, C.C. Hang, T.H. Lee,  Tao Zhang

Stable Adaptive Neural Network Control

Buch | Softcover
282 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2002
Springer-Verlag New York Inc.
978-1-4419-4932-5 (ISBN)
213,99 inkl. MwSt
Recent years have seen a rapid development of neural network control tech­ niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec­ tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.

1 Introduction.- 2 Mathematical Preliminaries.- 3 Neural Networks and Function Approximation.- 4 SISO Nonlinear Systems.- 5 ILF for Adaptive Control.- 6 Non-affine Nonlinear Systems.- 7 Triangular Nonlinear Systems.- 8 Conclusion.- References.

Erscheint lt. Verlag 7.12.2010
Reihe/Serie The International Series on Asian Studies in Computer and Information Science ; 13
Zusatzinfo XVI, 282 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Mathematik / Informatik Mathematik Analysis
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Naturwissenschaften Physik / Astronomie Astronomie / Astrophysik
Naturwissenschaften Physik / Astronomie Theoretische Physik
Naturwissenschaften Physik / Astronomie Thermodynamik
ISBN-10 1-4419-4932-1 / 1441949321
ISBN-13 978-1-4419-4932-5 / 9781441949325
Zustand Neuware
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