9780792375180 - Fully Tuned Radial Basis Function Neural Networks for Flight Control: 12 di Sundararajan, N.; Yan Li; Saratchandran, P. (14 risultati)

Condizione: New. pp. 180.

Condizione: New.

Condizione: New.

Condizione: New. pp. 180.

Condizione: New. Presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. This work also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Editor(s): Sundararajan, N.; Saratchandran, P.; Yan, Li. Series: The International Series on Asian Studies in Computer and Information Science. Num Pages: 174 pages, biography. BIC Classification: TJFM; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 11. Weight in Grams: 950. . 2001. Hardback. . . . .

Buch. Condizione: 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.

Condizione: New. Presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. This work also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Editor(s): Sundararajan, N.; Saratchandran, P.; Yan, Li. Series: The International Series on Asian Studies in Computer and Information Science. Num Pages: 174 pages, biography. BIC Classification: TJFM; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 11. Weight in Grams: 950. . 2001. Hardback. . . . . Books ship from the US and Ireland.

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Buch. Condizione: 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.

Gebunden. Condizione: 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.

Buch. Condizione: Neu. Fully Tuned Radial Basis Function Neural Networks for Flight Control | N. Sundararajan (u. a.) | Buch | The International Series on Asian Studies in Computer and Information Science | xvi | Englisch | 2001 | Springer | EAN 9780792375180 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Condizione: 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.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 180 pp. Englisch.

Condizione: New. Print on Demand pp. 180 Illus.