Min-max feedback model predictive control for constrained linear systems

Author

Scokaert, P.O.M. ; Mayne, D.Q.

Author_Institution

Dept. of Chem. Eng., Wisconsin Univ., Madison, WI, USA

Volume

43

Issue

8

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

1136

Lastpage

1142

Abstract

Min-max feedback formulations of model predictive control are discussed, both in the fixed and variable horizon contexts. The control schemes the authors discuss introduce, in the control optimization, the notion that feedback is present in the receding-horizon implementation of the control. This leads to improved performance, compared to standard model predictive control, and resolves the feasibility difficulties that arise with the min-max techniques that are documented in the literature. The stabilizing properties of the methods are discussed as well as some practical implementation details

Keywords

feedback; maximum principle; minimax techniques; predictive control; stability; constrained linear systems; control optimization; fixed horizon; min-max feedback model predictive control; receding-horizon implementation; stabilizing properties; variable horizon; Automatic control; Control systems; Differential equations; Feedback; Linear systems; Predictive control; Predictive models; Riccati equations; Stochastic processes; Stochastic systems;

fLanguage

English

Journal_Title

Automatic Control, IEEE Transactions on

Publisher

ieee

ISSN

0018-9286

Type

jour

DOI

10.1109/9.704989

Filename

704989