Fuzzy supervisory control

被引：0

作者：

Ha, TY ^{[1
]}

Binder, Z ^{[1
]}

Horácek, P ^{[1
]}

Perret, R ^{[1
]}

机构：

[1] ENSIEG, Lab Automat Grenoble, INPG, F-38402 St Martin Dheres, France

来源：

LOW COST AUTOMATION 1998 (LCA'98) | 1999年

关键词：

supervisory control; fuzzy logic; learning control; linear quadratic regulators; robot arms;

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：

Multimodel control methodology can be a good alternative in control of complex nonlinear systems. In this case, the selection of good controllers and the bumpless transfer between different controllers are important. This paper presents a supervisory control based on the Takagi-Sugeno fuzzy model used as a two level controller. A learning phase is added to change the T-S fuzzy model parameters, shapes of membership functions of reference fuzzy sets, to achieve a better performance of the control system. Copyright (C) 1998 IFAC.

引用

页码：121 / 124

页数：4

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