| 基于模糊规则的非线性系统建模方法 |
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| 引用本文： | 王宏伟,马广富. 基于模糊规则的非线性系统建模方法[J]. 控制理论与应用, 2000, 17(3): 419-422 |
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| 作者姓名： | 王宏伟 马广富 |
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| 作者单位： | 1. 国防科学技术大学自动控制系,长沙,410073
2. 哈尔滨工业大学仿真中心,哈尔滨,150001 |
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| 摘 要： | 提出了一种基于模糊聚类自调整的模糊建模方法，基于模糊聚类通过自适应模糊推理来调整模糊系统，一种在线辨识算法的是通过非线笥系统参数的在线性估计来进行的，为了证明了所提出方法的适用性，给出了几个实例的仿真结果。
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| 关 键 词： | 系统辨识 非线性系统 建模 模糊规则 |
Nonlinear Systems Modeling via Fuzzy Logic Rules |
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| WANG Hongwei,MA Guangfu. Nonlinear Systems Modeling via Fuzzy Logic Rules[J]. Control Theory & Applications, 2000, 17(3): 419-422 |
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| Authors: | WANG Hongwei MA Guangfu |
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| Abstract: | We propose a new self tuning fuzzy modeling by means of fuzzy clustering. Based on fuzzy clustering, the adaptive fuzzy inference is used to modify the 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 relative to a few examples are presented in the end. |
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| Keywords: | system identification fuzzy systems nonlinear system modeling recursive fuzzy clustering Kalman filtering algorithm on line identification |
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