| 引用本文: | 王宏伟, 贺汉根, 黄柯棣.基于模糊竞争学习的非线性系统自适应模糊建模方法(英文)[J].控制理论与应用,2003,20(2):249~252.[点击复制] |
| WANG Hong-wei, HE Han-gen, HUANG Ke-di.Adaptive fuzzy modeling for nonlinear systems based on fuzzy competitive learning[J].Control Theory and Technology,2003,20(2):249~252.[点击复制] |
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| 基于模糊竞争学习的非线性系统自适应模糊建模方法(英文) |
| Adaptive fuzzy modeling for nonlinear systems based on fuzzy competitive learning |
| 摘要点击 1549 全文点击 1160 投稿时间：2000-12-18 修订日期：2002-09-23 |
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| DOI编号 10.7641/j.issn.1000-8152.2003.2.016 |
| 2003,20(2):249-252 |
| 中文关键词 系统辨识 模糊系统 非线性系统建模 模糊竞争学习 卡尔曼滤波 |
| 英文关键词 system identification fuzzy systems nonlinear system modeling fuzzy competitive learning Kalman filtering algorithm |
| 基金项目 |
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| 中文摘要 |
| 提出了一种新的基于模糊竞争学习的自调整的模糊建模方法. 基于模糊竞争学习, 模糊系统能够进行自适应模糊推理. 在被调整模糊系统基础上, 提出了一种非线性系统在线估计参数的在线辨识算法. 为了证明提出算法的有效性, 最后给出了几个例子的仿真结果. |
| 英文摘要 |
| The author proposes a new self tuning fuzzy modeling by means of fuzzy competitive learning. Based on fuzzy competitive learning, the adaptive fuzzy inference is used in fuzzy system. Moreover, based on this modified fuzzy system, the paper presents an on line identifying algorithm with which the on line parameter estimation of nonlinear system is realized. To demonstrate the applicability of the proposed method, simulation results are presented at the end of this paper. |