Fully Tuned Radial Basis Function Neural Networks for Flight Control

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 RB...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Sundararajan, N. (VerfasserIn), Saratchandran, P. (VerfasserIn), Yan Li (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	New York, NY Springer US 2002
Ausgabe:	1st ed. 2002
Schriftenreihe:	The International Series on Asian Studies in Computer and Information Science 12
Schlagworte:	Complex Systems Calculus of Variations and Optimal Control; Optimization Artificial Intelligence Automotive Engineering Statistical Physics and Dynamical Systems Statistical physics Dynamical systems Calculus of variations Artificial intelligence Automotive engineering
Online-Zugang:	UBY01 URL des Eerstveröffentlichers
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