| 書目名稱 | Functional Adaptive Control |
| 副標(biāo)題 | An Intelligent Syste |
| 編輯 | Simon G. Fabri,Visakan Kadirkamanathan |
| 視頻video | http://file.papertrans.cn/350/349554/349554.mp4 |
| 概述 | Unique in its systematic attention and approach to stochastic systems |
| 叢書名稱 | Communications and Control Engineering |
| 圖書封面 |  |
| 描述 | The field of intelligent control has recently emerged as a response to the challenge of controlling highly complex and uncertain nonlinear systems. It attempts to endow the controller with the key properties of adaptation, learn- ing and autonomy. The field is still immature and there exists a wide scope for the development of new methods that enhance the key properties of in- telligent systems and improve the performance in the face of increasingly complex or uncertain conditions. The work reported in this book represents a step in this direction. A num- ber of original neural network-based adaptive control designs are introduced for dealing with plants characterized by unknown functions, nonlinearity, multimodal behaviour, randomness and disturbances. The proposed schemes achieve high levels of performance by enhancing the controller‘s capability for adaptation, stabilization, management of uncertainty, and learning. Both deterministic and stochastic plants are considered. In the deterministic case, implementation, stability and convergence is- sues are addressed from the perspective of Lyapunov theory. When compared with other schemes, the methods presented lead to more efficien |
| 出版日期 | Book 2001 |
| 關(guān)鍵詞 | Adaptive Control; Intelligent Control; Neural Networks; Nonlinear Control; Simulation; Stochastic Control |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4471-0319-6 |
| isbn_softcover | 978-1-4471-1090-3 |
| isbn_ebook | 978-1-4471-0319-6Series ISSN 0178-5354 Series E-ISSN 2197-7119 |
| issn_series | 0178-5354 |
| copyright | Springer-Verlag London 2001 |
|Archiver|手機(jī)版|小黑屋|
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