Min-max MPC algorithm for LPV systems subject to input saturation

被引：65
作者：
Cao, YY [1 ]
Lin, ZL
机构：
[1] Zhejiang Univ, Inst Modern Control Engn, Hangzhou 310027, Peoples R China
[2] Univ Virginia, Dept Elect & Comp Engn, Charlottesville, VA 22904 USA
来源：
IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 2005年 / 152卷 / 03期
关键词：
D O I：
10.1049/ip-cta:20041314
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, a new model predictive control (MPC) algorithm is developed for polytopic linear parameter-varying (LPV) systems subject to input saturation. A set invariance condition for discrete-time LPV systems with input saturation is identified and the invariant set is determined by solving an LMI optimisation problem, which directly incorporates input saturation. Based on this set invariance condition, a min-max MPC algorithm is proposed for the LPV systems with input saturation. A gain-scheduling, MPC algorithm is also proposed for the design of a parameter-dependent controller. Numerical examples demonstrate the effectiveness of the algorithms.
引用
收藏
页码：266 / 272
页数：7
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