Fuzzy logic based look-up table controller with generalization

被引：0

作者：

Albertos, P ^{[1
]}

Olivares, M ^{[1
]}

Sala, A ^{[1
]}

机构：

[1] Univ Politecn Valencia, Dept Syst Engn & Control, E-46071 Valencia, Spain

来源：

PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2000年

关键词：

LUT control; regulation; servo systems; SOC; iterative learning;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a simple generalization method of an iterative learning control scheme is proposed. A look-up table implementation of a Takagi-Sugeno fuzzy logic controller is developed based on a self-organizing control scheme. For that purpose, a first order penalty equation is used as a reinforcement in an iterative learning run, modifying some elements of the table recorded as responsible of the actual bad performance. The schema does not need a model of the process, but experimental process knowledge is required to tune the penalty equation.

引用

页码：1949 / 1953

页数：5

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