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

作　　者：王宏伟[1] 贺汉根[2] 黄柯棣[2] 

机构地区：[1]海尔集团技术中心,山东青岛266101 [2]国防科技大学机电工程与自动化学院,湖南长沙410073

出　　处：《控制理论与应用》2003年第2期249-252,共4页Control Theory & Applications

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 .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.

关 键 词：非线性系统 自适应模糊建模法 模糊竞争学习 模糊推理 参数估计 系统辨识 卡尔曼滤波 

分 类 号：TP15[自动化与计算机技术—控制理论与控制工程]