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Titlebook: Fully Tuned Radial Basis Function Neural Networks for Flight Control; N. Sundararajan,P. Saratchandran,Yan Li Book 2002 Springer Science+B

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書目名稱Fully Tuned Radial Basis Function Neural Networks for Flight Control
編輯N. Sundararajan,P. Saratchandran,Yan Li
視頻videohttp://file.papertrans.cn/350/349519/349519.mp4
叢書名稱The International Series on Asian Studies in Computer and Information Science
圖書封面Titlebook: Fully Tuned Radial Basis Function Neural Networks for Flight Control;  N. Sundararajan,P. Saratchandran,Yan Li Book 2002 Springer Science+B
描述.Fully Tuned Radial Basis Function Neural Networks for FlightControl. presents the use of the Radial Basis Function (RBF) neuralnetworks for adaptive control of nonlinear systems with emphasis onflight control applications. A Lyapunov synthesis approach is used toderive the tuning rules for the RBF controller parameters in order toguarantee the stability of the closed loop system. Unlike previousmethods that tune only the weights of the RBF network, this bookpresents the derivation of the tuning law for tuning the centers,widths, and weights of the RBF network, and compares the results withexisting algorithms. It also includes a detailed review of systemidentification, including indirect and direct adaptive control ofnonlinear systems using neural networks. ..Fully Tuned Radial Basis Function Neural Networks for FlightControl. is an excellent resource for professionals using neuraladaptive controllers for flight control applications.
出版日期Book 2002
關(guān)鍵詞Adaptive control; algorithms; control; neural networks; nonlinear system
版次1
doihttps://doi.org/10.1007/978-1-4757-5286-1
isbn_softcover978-1-4419-4915-8
isbn_ebook978-1-4757-5286-1Series ISSN 1566-0710
issn_series 1566-0710
copyrightSpringer Science+Business Media New York 2002
The information of publication is updating

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