Approximations of large rule Takagi-Sugeno fuzzy controller by four rule Takagi-Sugeno fuzzy controller

被引：0
|
作者：
Arya, RK [1 ]
Mitra, R [1 ]
Kumar, V [1 ]
机构：
[1] Indian Inst Technol, Dept Elect & Comp Engn, Roorkee 247667, Uttar Pradesh, India
来源：
2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2004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 deals with approximations of large rule Takagi-Sugeno (TKS) fuzzy controller by four rule TKS fuzzy controller (simpler) via comparison of rule base of two controllers. The inequalities between two controllers are compensated by proposed compensating factors. The proposed methodology enormously reduces the computational time and computational memory. The proposed methodology is utilized to control a second order plant. It has been found that the proposed approximations and conventional methods give approximately same results.
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页码：1341 / +
页数：2
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