Robust optimal control for uncertain constrained T-S fuzzy systems

被引：0
|
作者：
Gao, Xing-Quan [1 ,2 ]
Ma, Miao-Miao [2 ]
Chen, Hong [2 ]
机构：
[1] College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin 132022, China
[2] College of Communication Engineering, Jilin University, Changchun 130022, China
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2009年 / 39卷 / 05期
关键词：
Inverted pendulum - Automation - Iterative methods - Fuzzy systems - Problem solving - Time domain analysis - State feedback;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
For uncertain T-S fuzzy systems with norm-bounded uncertainty and time-domain constraints, including control input constraints and state constraints, a robust optimal control scheme is proposed. The sufficient conditions for seeking state feedback gains are derived using S-Procesure method. The design problem is then lead to solve an optimization problem with the constraints of a set of nonlinear matrix inequalities. An iterative algorithm for the solution of the problem is presented. Simulation is carried out for an inverted pendulum system and the results demonstrate the effectiveness of the proposed scheme.
引用
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页码：1245 / 1251
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