Robust digital model predictive control for linear uncertain systems with saturations

Author

Hu, Li-Sheng ; Huang, Biao ; Cao, Yong-Yan

Author_Institution

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

Volume

49

Issue

5

fYear

2004

fDate

5/1/2004 12:00:00 AM

Firstpage

792

Lastpage

796

Abstract

Actuator saturation constraint is inevitable in industrial process. In this note, 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

continuous time systems; digital control; linear matrix inequalities; linear systems; optimisation; predictive control; robust control; sampled data systems; uncertain systems; actuator saturation constraint; continuous-time systems; digital control; discrete receding horizon control; industrial process; linear matrix inequalities; linear uncertain systems; model predictive control; optimisation problems; piecewise constant robust model; robust digital model predictive control; sampled-data control approach; static output feedback; Actuators; Electrical equipment industry; Linear matrix inequalities; Optimal control; Output feedback; Predictive control; Predictive models; Robust control; Robust stability; Uncertain systems; Continuous-time system; digital control; model predictive control; robust control; sampled-data control; saturation; static output feedback;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/TAC.2004.825980

Filename

1299011