A hybrid learning method for B-spline fuzzy neural control system

被引：0

作者：

Liu, Quart ^{[1
]}

Lv, Lin

Luan, Baohong

机构：

[1] Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Peoples R China

[2] Xiangfan Branch MEA, Xiangfan 441118, Peoples R China

来源：

DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2006年 / 13E卷

关键词：

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A novel controller based on the fuzzy B-spline NN is being introduced, which combines the advantages of qualitative defining capability of fuzzy logic and quantitative learning ability of NN, and uses B-spline as membership of fuzzy functions. Simultaneously, a hybrid learning method of the controller is proposed as well, in which the immune genetic algorithm(IGA) is used offline first for optimizing, followed by online adjustment with the Levenberg-Marquardt(LM) algorithm. Simulation results of a boiler's fresh steam temperature control shows the method to be feasible and effective.

引用

页码：3090 / 3093

页数：4

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