| 書(shū)目名稱(chēng) | Fully Tuned Radial Basis Function Neural Networks for Flight Control |
| 編輯 | N. Sundararajan,P. Saratchandran,Yan Li |
| 視頻video | http://file.papertrans.cn/350/349519/349519.mp4 |
| 叢書(shū)名稱(chēng) | The International Series on Asian Studies in Computer and Information Science |
| 圖書(shū)封面 |  |
| 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 |
| doi | https://doi.org/10.1007/978-1-4757-5286-1 |
| isbn_softcover | 978-1-4419-4915-8 |
| isbn_ebook | 978-1-4757-5286-1Series ISSN 1566-0710 |
| issn_series | 1566-0710 |
| copyright | Springer Science+Business Media New York 2002 |
|Archiver|手機(jī)版|小黑屋|
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