relation: http://eprints.imtlucca.it/508/
title: Suboptimal model predictive control of hybrid systems based on mode-switching constraints
creator: Ingimundarson, Ari
creator: Ocampo-Martinez, Carlos
creator: Bemporad, Alberto
subject: QA75 Electronic computers. Computer science
subject: TJ Mechanical engineering and machinery
description: Model predictive control (MPC) is recognized as a very versatile and effective way of controlling constrained hybrid dynamical systems in closed-loop. The main drawback of hybrid MPC is the heavy computation burden of the associated on-line mixed-integer optimization. Explicit MPC solutions overcome such a problem by rewriting the control law in piecewise affine form, but are limited to relatively simple hybrid control problem setups. This paper presents an alternative approach for reducing the complexity of computations by suitably constraining the mode sequence over the prediction horizon, so that on-line optimization is solved more quickly. While tracking performance of the feedback loop may be affected because of the suboptimality of the approach, closed- loop stability is guaranteed. The effectiveness of the method is demonstrated by an example.
publisher: IEEE
date: 2007
type: Book Section
type: PeerReviewed
identifier:   Ingimundarson, Ari and Ocampo-Martinez, Carlos and Bemporad, Alberto  Suboptimal model predictive control of hybrid systems based on mode-switching constraints.   In:  Decision and Control.   IEEE, 12th-14th December 2007, 5264-5269 .  ISBN 978-1-4244-1497-0       (2007)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4434293&isnumber=4434000
relation: 10.1109/CDC.2007.4434293