Robustly Stabilizing MPC for Perturbed PWL Systems

Reference

I. Necoara, B. De Schutter, T.J.J. van den Boom, and J. Hellendoorn, "Robustly Stabilizing MPC for Perturbed PWL Systems," Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 (CDC-ECC'05), Seville, Spain, pp. 3759-3764, Dec. 2005.

Abstract

This paper deals with robustly stable model predictive control (MPC) of the class of piecewise linear systems. A piecewise linear feedback controller, that stabilizes the nominal system, is derived from linear matrix inequalities. Further, an algorithm is designed for constructing a polyhedral robustly positively invariant set for the system. First, a min-max feedback MPC scheme with known mode, based on a dual-mode approach that stabilizes the system, is presented. The second robustly stable MPC scheme is based on a semi-feedback controller, but this time the mode of the system is unknown.

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Bibtex entry

@inproceedings{NecDeS:05-004,
author={I. Necoara and B. {D}e Schutter and T.J.J. van den Boom and J. Hellendoorn},
title={Robustly Stabilizing {MPC} for Perturbed {PWL} Systems},
booktitle={Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 (CDC-ECC'05)},
address={Seville, Spain},
pages={3759--3764},
month=dec,
year={2005}
}


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