Model predictive control for linear parameter varying systems using parameter dependent Lyapunov function

被引：69
|
作者：
Wada, Nobutaka [1 ]
Saito, Koji [1 ]
Saeki, Masami [1 ]
机构：
[1] Hiroshima Univ, Dept Mech Syst Engn, Higashihiroshima 7398527, Japan
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2006年 / 53卷 / 12期
关键词：
linear matrix inequality (LMI); linear parameter varying (LPV) system; model predictive control (MPQ); parameter dependent Lyapunov function (PDLF);
D O I：
10.1109/TCSII.2006.883832
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this brief, we propose a method of synthesizing a model predictive control (MPC) law for linear parameter varying systems. The proposed method is derived by using the parameter dependent Lyapunov function. The proposed MPC algorithm is reduced to the linear matrix inequality problem. It is shown that the proposed control method achieves less conservative results as compared with the several existing methods. A numerical example is provided to illustrate effectiveness of the proposed method.
引用
收藏
页码：1446 / 1450
页数：5
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