Robust digital model predictive control for linear uncertain systems with saturations

被引：0

作者：

Hu, LS ^{[1
]}

Huang, B ^{[1
]}

Cao, YY ^{[1
]}

Shao, HH ^{[1
]}

机构：

[1] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2G6, Canada

来源：

42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS | 2003年

关键词：

D O I：

10.1109/CDC.2003.1272339

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Actuator saturation constraint is inevitable in industrial process. In this paper, we consider a discrete receding horizon control, a piecewise constant robust model predictive control, for a continuous-time plant with actuator saturation constraint through a sampled-data control approach. The solution is formulated as an optimization problem subject to linear matrix inequalities. A numerical example is used to demonstrate the effectiveness of the proposed design procedure.

引用

页码：4776 / 4781

页数：6

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