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Fully Tuned Radial Basis Function Neural Networks for Flight Control
Sundararajan, N.; Saratchandran, P.; Li, Yan
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Description for Fully Tuned Radial Basis Function Neural Networks for Flight Control
Paperback. Series: The International Series on Asian Studies in Computer and Information Science. Num Pages: 174 pages, biography. BIC Classification: PBKQ; PHS; TRC; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 9. Weight in Grams: 284.
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, ... Read more
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, ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag New York Inc. United States
Number of pages
174
Condition
New
Series
The International Series on Asian Studies in Computer and Information Science
Number of Pages
158
Place of Publication
New York, NY, United States
ISBN
9781441949158
SKU
V9781441949158
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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