Robust Low Complexity Predictive Control of Constrained Piecewise Affine Systems with Bounded Disturbances

被引：3

作者：

Chen, Fu ^{[1
]}

Qi, Dong-Lian ^{[1
]}

机构：

[1] Zhejiang Univ, Dept Syst Sci & Engn, Hangzhou 310027, Zhejiang, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2010年 / 8卷 / 02期

关键词：

Constrained piecewise affine system; linear matrix inequalities; model predictive control; multi-parametric programming; receding horizon control; robust invariant set;

D O I：

10.1007/s12555-010-0232-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A robust low complexity model predictive control (M PC) scheme, referred to as robust one-step control, is proposed for constrained piecewise affine (PWA) systems with bounded disturbances. First, the maximal robust stabilizable set is added into the MPC formulation to guarantee the robust feasibility and low complexity. Second, the robust stability is analyzed via linear matrix inequalities (EMI). Extensive numerical examples illustrate the low complexity of the proposed robust one-step control.

引用

页码：439 / 444

页数：6

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