Observer-based robust predictive control of singular systems with time-delay and parameter uncertainties

被引:0
|
作者
Liu Xiaohua [1 ]
Yang Yuanhua [2 ]
机构
[1] Ludong Univ, Sch Math & Informat, Yantai 264025, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
基金
中国国家自然科学基金;
关键词
predictive control; singular systems; linear matrix inequality; state observer; time-delay; uncertainty; LINEAR-SYSTEMS; STATE-DELAY; STABILIZATION;
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
The problem of observer-based robust predictive control is studied for the singular systems with norm-bounded uncertainties and time-delay, and the design method of robust predictive observer-based controller is proposed. By constructing the Lyapunov function with the error terms, the infinite time domain "min-max" optimization problems are converted into convex optimization problems solving by the linear matrix inequality (LMI), and the sufficient conditions for the existence of this control are derived. It is proved that the robust stability of the closed-loop singular systems can be guaranteed by the initial feasible solutions of the optimization problems, and the regular and the impulse-free of the singular systems are also guaranteed. A simulation example illustrates the efficiency of this method.
引用
收藏
页码:590 / 597
页数:8
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