摘要
Aim at a class of nonlinear MIMO systems, the neural networks online decoupling algorithm is proposed. The elitist genetic algorithms and hybrid genetic algorithms are adopted respectively to train the neural networks in order to compensate coupling effect. Based on analysis of the convergence of the genetic algorithms, the feasibility of the online decoupling algorithm is discussed. The effectiveness of the algorithm has been shown by numerical simulations combing nonlinear MIMO system.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
| 页 | 2920-2924 |
| 页数 | 5 |
| DOI | |
| 出版状态 | 已出版 - 2006 |
| 活动 | 6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, 中国 期限: 21 6月 2006 → 23 6月 2006 |
出版系列
| 姓名 | Proceedings of the World Congress on Intelligent Control and Automation (WCICA) |
|---|---|
| 卷 | 1 |
会议
| 会议 | 6th World Congress on Intelligent Control and Automation, WCICA 2006 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Dalian |
| 时期 | 21/06/06 → 23/06/06 |
指纹
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Li, X., Bai, Y., & Yang, L. (2006). Neural network online decoupling for a class of nonlinear system. 在 Proceedings of the World Congress on Intelligent Control and Automation (WCICA) (页码 2920-2924). 文章 1712900 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); 卷 1). https://doi.org/10.1109/WCICA.2006.1712900