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
收藏
页码：121 / 124
页数：4
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