On stability of constrained receding horizon control with finite terminal weighting matrix

Citations

WEB OF SCIENCE

134
Citations

SCOPUS

165

초록

In this paper, a new stabilizing receding horizon control, based on a finite input and state horizon cost with a finite terminal weighting matrix, is proposed for time-varying discrete linear systems with constraints. We propose matrix inequality conditions on the terminal weighting matrix under which closed-loop stability is guaranteed for both cases of unconstrained and constrained systems with input and state constraints. We show that such a terminal weighting matrix can be obtained by solving a linear matrix inequality (LMI). In the case of constrained time-invariant systems, an artificial invariant ellipsoid constraint is introduced in order to relax the conventional terminal equality constraint and to handle constraints. Using the invariant ellipsoid constraints, a feasibility condition of the optimization problem is presented and a region of attraction is characterized for constrained systems with the proposed receding horizon control. (C) 1998 Elsevier Science Ltd. All rights reserved.

키워드

discrete time-time systempredictive controlconstraintsstabilityMODEL-PREDICTIVE CONTROL
제목
On stability of constrained receding horizon control with finite terminal weighting matrix
저자
Lee, JWKwon, WHChoi, JH
DOI
10.1016/S0005-1098(98)80015-0
발행일
1998-12
유형
Article
저널명
Automatica
34
12
페이지
1607 ~ 1612