Robust model predictive control for norm-bounded uncertain systems using new parameter dependent terminal weighting matrix

S.M. Lee and Ju H. Park

Chaos, Solitons & Fractals, 2008, vol. 38, issue 1, 199-208

Abstract: A new robust model predictive control (MPC) technique is proposed for norm-bounded uncertain systems with input constraints. In order to improve feasibility and system performance, we propose an LMI condition for the cost monotonicity by using a new parameter dependent terminal weighting matrix. We formulate the problem as a minimization of the upper bound of infinite horizon cost function subject to the LMI condition for the cost monotonicity. A numerical example shows the effectiveness of the proposed method.

Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:38:y:2008:i:1:p:199-208

DOI: 10.1016/j.chaos.2006.11.004

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