Fully Tuned Radial Basis Function Neural Networks for Flight Control

by P. Saratchandran, Yan Li, N. Sundararajan

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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,...

Format:Paperback

Language:English

ISBN:1441949151

ISBN13:9781441949158

Release Date:December 2010

Publisher:Springer

Length:158 Pages

Weight:0.56 lbs.

Dimensions:0.4" x 6.1" x 9.2"

Related Subjects

Aeronautical Engineering Aeronautics & Astronautics Aerospace Artificial Intelligence Astronomy & Space Science Calculus Certification Computer Science Computers Computers & Technology

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Fully Tuned Radial Basis Function Neural Networks for Flight Control

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