Title
Interval Predictors for a Class of Uncertain Discrete-Time Systems
Abstract
This work presents set-valued algorithms to compute tight interval predictions of the state trajectories for a certain class of uncertain dynamical systems. Based on interval analysis and the analytic expression of the state response of discrete-time linear systems, non-conservative numerical schemes are proposed. Moreover, under some stability conditions, the convergence of the width of the predicted state enclosures is proved. The performance of the proposed set-valued algorithms are illustrated through two numerical examples and the results are compared to that obtained with an other method selected from the literature.
Year
DOI
Venue
2020
10.14232/actacyb.24.3.2020.12
Acta Cybern.
Keywords
DocType
Volume
reachability analysis,interval analysis,uncertain systems,set-membership techniques
Journal
24
Issue
ISSN
Citations 
3
0324-721X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Nacim Meslem1547.97
John J. Martinez2446.34