CMAC self-tuning scheme of fuzzy controller parameters

被引：0

作者：

Liu, CY ^{[1
]}

Cui, YL ^{[1
]}

机构：

[1] Hebei Univ Sci & Technol, Shijiazhuang 050018, Hebei, Peoples R China

来源：

2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年

关键词：

adaptive fuzzy control; CMAC algorithms; parameter self-tuning; fuzzy system design;

D O I：

10.1109/ICMLC.2003.1259939

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new type fuzzy controller with CMAC-based self-tuning parameters is proposed. By using the proposed method, parameters of fuzzy controller can be tuned on-line, and control performance can be improved. In addition, CMAC is used only for tuning grain parameters, so that it is easy to implement and other fuzzy parameters can be designed by conventional method. The paper has already proposed a fuzzy controller with nonlinear scaling functions and controller designing method based on the relationship between the parameters of fuzzy controller and system performance. The proposed method is an extended version of the previously proposed method mentioned above to the fuzzy controller with nonlinear scaling factors, a tuning method of parameters using CMAC. The proposed control scheme is numerically evaluated on some simulations.

引用

页码：2524 / 2529

页数：6

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