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sundararajan n.; saratchandran p.; yan li - fully tuned radial basis function neural networks for flight control

Fully Tuned Radial Basis Function Neural Networks for Flight Control

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer US

Pubblicazione: 12/2010
Edizione: Softcover reprint of hardcover 1st ed. 2002





Trama

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.




Sommario

1. A Review of Nonlinear Adaptive Neural Control Schemes.- I Nonlinear System Identification and Indirect Adaptive Control Schemes.- 2. Nonlinear System Identification Using Lyapunovbased Fully Tuned Rbfn.- 3. Real-Time Identification of Nonlinear Systems Using MRAN/EMRAN Algorithm.- 4. Indirect Adaptive Control Using Fully Tuned Rbfn.- II Direct Adaptive Control Strategy and Fighter aircraft applications.- 5. Direct Adaptive Neuro Flight Controller Using Fully Tuned Rbfn.- 6. Aircraft Flight Control Applications Using Direct Adaptive NFC.- 7. MRAN Neuro-Flight Controller for Robust Aircraft Control.- 8. Conclusions and Future Work.- Topic Index.










Altre Informazioni

ISBN:

9781441949158

Condizione: Nuovo
Collana: The International Series on Asian Studies in Computer and Information Science
Dimensioni: 235 x 155 mm Ø 454 gr
Formato: Brossura
Illustration Notes:XVI, 158 p.
Pagine Arabe: 158
Pagine Romane: xvi


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