Title
Model Predictive Control for Linear Impulsive Systems.
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).
Year
DOI
Venue
2012
10.1109/TAC.2014.2380672
IEEE Transactions on Automatic Control
Keywords
Field
DocType
Trajectory,Asymptotic stability,Stability criteria,Drugs,Optimal control
Mathematical optimization,Optimal control,Linear system,Computer science,Control theory,Model predictive control,Equilibrium point,Exponential stability,Invariant (mathematics),Control system,Stability theory
Conference
Volume
Issue
ISSN
60
8
0018-9286
ISBN
Citations 
PageRank 
978-1-4673-2064-1
2
0.38
References 
Authors
2
4
Name
Order
Citations
PageRank
Pantelis Sopasakis15811.54
Panagiotis Patrinos226831.71
Haralambos Sarimveis345830.49
Alberto Bemporad44353568.62