Robust digital model predictive control for linear uncertain systems with saturations

Author

Hu, Li-Sheng ; Huang, Biao ; Cao, Yong-Yan ; Shao, Hui-he

Author_Institution

Dept. of Autom., Shanghai Jiao Tong Univ., China

Volume

5

fYear

2003

fDate

9-12 Dec. 2003

Firstpage

4776

Abstract

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.

Keywords

actuators; continuous time systems; linear matrix inequalities; linear systems; optimisation; predictive control; robust control; sampled data systems; uncertain systems; actuator saturation constraint; continuous time plant; discrete receding horizon control; industrial process; linear matrix inequalities; linear uncertain systems; model predictive control; optimization; piecewise constant robust control; sampled data control; Actuators; Automation; Electrical equipment industry; Linear matrix inequalities; Optimal control; Predictive control; Predictive models; Robust control; Robust stability; Uncertain systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2003. Proceedings. 42nd IEEE Conference on

ISSN

0191-2216

Print_ISBN

0-7803-7924-1

Type

conf

DOI

10.1109/CDC.2003.1272339

Filename

1272339