Multivariable integral control system based on Takagi-Sugeno fuzzy model

被引：0
|
作者：
Luan, Xiu-Chun [1 ]
Han, Wei-Shi [1 ]
Young, Ai-Guang [2 ]
Zhai, Yu [3 ]
Jiang, Yu [1 ]
机构：
[1] Harbin Engn Univ, Coll Nucl Sci & Technol, Harbin 150001, Peoples R China
[2] Qingdao Univ Sci & Technol, Qingdao 266100, Peoples R China
[3] Harbin Univ Sci & Technol, Harbin 150040, Peoples R China
来源：
PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年
关键词：
Takagi-Sugeno fuzzy model; multivariable integral control; state observer; separation property; stability condition;
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：
Based on Takagi-Sugeno fuzzy model, employing parallel distributed compensation, the multivariable integral control and state observer in the linear system theory are applied to nonlinear systems for the problem of output tracking and rejecting disturbance with reference and/or disturbance signals in the form of step, and the fuzzy integral controller and fuzzy state observer are synthesized. The stability condition of continuous closed-loop fuzzy control system and a similar separation principle to the counterpart on observer design in the linear system theory are obtained.
引用
收藏
页码：1321 / +
页数：2
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