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非线性系统在线模糊建模的快速算法
引用本文:王宏伟,马广富,王子才.非线性系统在线模糊建模的快速算法[J].航空学报,1999,20(3):239-241.
作者姓名:王宏伟  马广富  王子才
作者单位:哈尔滨工业大学
摘    要: 对于复杂、病态、非线性动态系统,基于模糊集合的模糊模型,利用模糊推理规则描述动态系统的特性,是一种有效方法。讨论了利用模糊方法实现非线性系统的建模方法。首先,利用在线模糊竞争学习方法划分输入变量的模糊空间,然后利用卡尔曼滤波算法辨识模糊模型的参数。仿真结果表明了该方法的实用性和有效性。

关 键 词:模糊竞争学习  在线辨识  卡尔曼滤波算法  非线性系统  
修稿时间:1998-06-29

FAST ALGORITHM OF ON LINE FUZZY MODELING FOR NONLINEAR SYSTEMS
WANG Hong wei,MA Guang fu,WANG Zi cai.FAST ALGORITHM OF ON LINE FUZZY MODELING FOR NONLINEAR SYSTEMS[J].Acta Aeronautica et Astronautica Sinica,1999,20(3):239-241.
Authors:WANG Hong wei  MA Guang fu  WANG Zi cai
Affiliation:Simulation Center, Harbin Institute of Technology, Harbin 150001, China
Abstract:For dynamic systems with complex, ill conditioned, or nonlinear characteristics, the fuzzy model based on fuzzy sets is very useful to describe the properties of dynamic systems using fuzzy inference rules. Nonlinear system modeling using fuzzy method is discussed in this paper. First, the fuzzy space of input variables is partitioned by means of on line fuzzy competitive learning. Further, the parameters of the fuzzy model are identified by means of Kalman filtering algorithm. The simulation results demonstrate that the proposed method is practical and efficient.
Keywords:fuzzy competitive learning  on  line identification  Kalman filtering algorithm  nonlinear systems
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