Science & Math | Scientific Reference

Fully Tuned Radial Basis Function Neural Networks for Flight Control

by N. Sundararajan

2020-04-20 00:08:31

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Fully Tuned Radial Basis Function Neural Networks for Flight Controlpresents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthes... Read more
Fully Tuned Radial Basis Function Neural Networks for Flight Controlpresents 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 Controlis an excellent resource for professionals using neural adaptive controllers for flight control applications. Less

Book Details

File size9.25 X 6.1 X 0 in
Print pages158
PublisherKluwer Boston Inc.
Publication date March 9, 2013
Languageeng
ISBN9781475752861
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N. Sundararajan
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