relation: http://eprints.imtlucca.it/1480/
title: Model Predictive Control for Linear Impulsive Systems
creator: Sopasakis, Pantelis
creator: Patrinos, Panagiotis
creator: Sarimveis, Haralambos
creator: Bemporad, Alberto
subject: QA75 Electronic computers. Computer science
subject: TJ Mechanical engineering and machinery
description: Linear Impulsive Control Systems have been extensively studied with respect to their equilibrium points which, in most cases, are no other than the origin. However, the trajectory of the system cannot be stabilized to arbitrary desired points which imposes a significant restriction towards their utilization in various applications such as drug administration. In this paper, we study the equilibrium of Linear Impulsive Systems in light of target-sets instead of the standard equilibrium point approach. We properly extend the notion of invariant sets which is crucial in designing asymptotically stable Model Predictive Controllers (MPC).
publisher: IEEE
date: 2012-12
type: Book Section
type: PeerReviewed
identifier:   Sopasakis, Pantelis and Patrinos, Panagiotis and Sarimveis, Haralambos and Bemporad, Alberto  Model Predictive Control for Linear Impulsive Systems.   In:  Proceedings of the IEEE 51st Annual Conference on Decision and Control (CDC), 2012.   IEEE, 5164 -5169.  ISBN 978-1-4673-2064-1      (2012)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6426243&isnumber=6425800
relation: 10.1109/CDC.2012.6426243