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]
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 1294  全文点击 1054  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  
作者单位E-mail
王宏伟, 贺汉根, 黄柯棣 海尔集团技术中心, 山东青岛 266101
国防科技大学 机电工程与自动化学院, 湖南长沙 410073 		wang_hwly@sohu.com 
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.