Neuro genetic fuzzy system for Gain Scheduling adaptive control design

被引：0

作者：

Serra, Ginalber L. O. ^{[1
]}

Bottura, Celso P. ^{[1
]}

机构：

[1] Univ Estadual Campinas, Intelligent Syst & Control Lab, FEEC, DMCSI, Av Albert Einstein 400, Campinas, SP, Brazil

来源：

ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1 | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper proposes a Gain Scheduling adaptive control scheme based on fuzzy systems, neural networks and genetic algorithms: an optimal fuzzy M controller is developed, by a genetic algorithm, according to some design specifications, and a neural network is designed to learn and tune on-line the fuzzy controller parameters at different operating points from ones used in the learning process. Simulation results are shown to demonstrate the efficiency of the proposed structure for DC servomotor adaptive speed control design.

引用

页码：942 / 947

页数：6

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