Model predictive control of discrete-time singular systems based on input-to-state stability

被引：0
|
作者：
Liu, Xiao-Hua [1 ]
Gao, Chan [1 ]
机构：
[1] School of Mathematics and Statistics Science, Ludong University, Yantai
来源：
Kongzhi yu Juece/Control and Decision | 2015年 / 30卷 / 12期
关键词：
Discrete-time singular systems; Dual-mode control; Input-to-state stability; Model predictive control; Persistent disturbance;
D O I：
10.13195/j.kzyjc.2014.1503
中图分类号：
学科分类号：
摘要：
Robust model predictive control (MPC) is studied for a class of discrete-time singular system subject to persistent disturbance and input constrains. The notion of input-to-state stability is introduced to the model predictive control of singular systems. The design method of the singular system dual-mode MPC is proposed under the index of quasi-min-max. On the basis of the proposed dual-mode MPC approach, it can be proved that the closed-loop discrete-time singular system is input-to-state stable. Finally, the numerical simulation result shows the feasibility and the effectiveness of the proposed method. © 2015, Northeast University. All right reserved.
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页码：2137 / 2144
页数：7
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