Genetic algorithm optimization of a model-free fuzzy control system

被引：21

作者：

Marseguerra, M ^{[1
]}

Zio, E ^{[1
]}

Cadini, F ^{[1
]}

机构：

[1] Politecn Milan, Dept Nucl Engn, I-20133 Milan, Italy

来源：

ANNALS OF NUCLEAR ENERGY | 2005年 / 32卷 / 07期

关键词：

D O I：

10.1016/j.anucene.2004.12.002

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

In this work, we present an approach, based on a genetic algorithm optimization search, for determining the values of the parameters of an adaptive stable fuzzy control system suitable to drive a given plant to a desired reference trajectory. The method is demonstrated on a naturally unstable system taken from the literature and then applied to the well known Chernick's model of a nuclear reactor. &COPY; 2005 Elsevier Ltd. All rights reserved.

引用

页码：712 / 728

页数：17

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