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Model Predictive Control for Linear Impulsive Systems

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)

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Abstract

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).

Item Type: Book Section
Identification Number: 10.1109/CDC.2012.6426243
Uncontrolled Keywords: Asymptotic stability; Drugs; Mathematical model; Optimal control; Stability analysis; Standards; Trajectory
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
Research Area: Computer Science and Applications
Depositing User: Pantelis Sopasakis
Date Deposited: 14 Feb 2013 10:04
Last Modified: 12 Mar 2013 14:57
URI: http://eprints.imtlucca.it/id/eprint/1480

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