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Fully Tuned Radial Basis Function Neural Networks for Flight Control

Springer US,
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Kurzbeschreibung

Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.

Details
Schlagworte

Titel: Fully Tuned Radial Basis Function Neural Networks for Flight Control
Autoren/Herausgeber: N. Sundararajan, P. Saratchandran, Yan Li
Aus der Reihe: The International Series on Asian Studies in Computer and Information Science
Ausgabe: Softcover reprint of hardcover 1st ed. 2002

ISBN/EAN: 9781441949158

Seitenzahl: 158
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 284 g
Sprache: Englisch

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