Fuzzy observer-based control of nonlinear systems

被引：0
|
作者：
Jadbabaie, A [1 ]
Titli, A [1 ]
Jamshidi, M [1 ]
机构：
[1] Univ New Mexico, NASA, Ctr Autonomous Control Engn, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
来源：
PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5 | 1997年
关键词：
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, some recent results on systematic design of model based fuzzy controllers for nonlinear systems with Takagi-Sugeno (T-S) fuzzy models are discussed. These methods are based on finding a common Lyapunov matrix and state feedback gains for the closed loop T-S fuzzy model using Linear Matrix Inequalities(LMI's). However, all of these methods assume that the states are available for measurement, while in reality this is not the case. To solve this problem, the notion of fuzzy observer is introduced and a separation theorem for the observer/controller system is stated and proof sketch is presented.
引用
收藏
页码：3347 / 3349
页数：3
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