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Fully Tuned Radial Basis Function Neural Networks for Flight Control: 12 (The International Series on Asian Studies in Computer and Information Science) - Tapa dura
Sinopsis
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.
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Reseña del editor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2001
- ISBN 10 0792375181
- ISBN 13 9780792375180
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas180
- Contacto del fabricanteno disponible
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FULLY TUNED RADIAL BASIS FUNCTION NEURAL NETWORKS FOR FLIGHT CONTROL
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Fully Tuned Radial Basis Function Neural Networks for Flight Control
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Springer, 2001
ISBN 10: 0792375181
ISBN 13: 9780792375180
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Fully Tuned Radial Basis Function Neural Networks for Flight Control
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Nº de ref. del artículo: 5970226
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Fully Tuned Radial Basis Function Neural Networks for Flight Control (The International Series on Asian Studies in Computer and Information Science, 12)
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Fully Tuned Radial Basis Function Neural Networks for Flight Control
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Springer US, Springer New York, 2001
ISBN 10: 0792375181
ISBN 13: 9780792375180
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9780792375180
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Fully Tuned Radial Basis Function Neural Networks for Flight Control
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Springer US, Springer US Nov 2001, 2001
ISBN 10: 0792375181
ISBN 13: 9780792375180
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 180 pp. Englisch. Nº de ref. del artículo: 9780792375180
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Fully Tuned Radial Basis Function Neural Networks for Flight Control (The International Series on Asian Studies in Computer and Information Science, 12)
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Fully Tuned Radial Basis Function Neural Networks for Flight Control
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 180 pp. Englisch. Nº de ref. del artículo: 9780792375180
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Fully Tuned Radial Basis Function Neural Networks for Flight (The International Series on Asian Studies in Computer and Information Science)
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