Paper Info
Title
Hybrid Interval-Ellipsoidal Set-Membership State Estimators for Uncertain Discrete-Time Linear Systems
Abstract
Aiming to enhance the performance of state estimation algorithms in the bounded error context, we propose in this work two kinds of combination of two types of set-membership estimators. The first estimator use interval analysis to over-approximate efficiently the estimation error, whereas the second estimator is based on set invariance principle coupled with ellipsoidal computation. Two hybrid (interval-ellipsoidal) structures are introduced in this paper. The first one has the advantage to need less online computation; while the second one due to its data fusion policy provides accurate state enclosures over all the working period. Illustrative numerical examples are presented to show the performance of the proposed approaches and to support the theoretical results.
Year
DOI
Venue
2019
10.1109/SYSTOL.2019.8864743
2019 4th Conference on Control and Fault Tolerant Systems (SysTol)
Keywords
Field
DocType
state estimation algorithms,bounded error context,set-membership estimators,interval analysis,ellipsoidal computation,hybrid structures,hybrid interval-ellipsoidal set-membership state estimators,uncertain discrete-time linear systems
Ellipsoid,Invariance principle,Discrete time nonlinear systems,Computer science,Algorithm,Sensor fusion,Interval arithmetic,Trajectory,Estimator,Computation
Conference
ISSN
ISBN
Citations 
2162-1195
978-1-7281-0381-5
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Nacim Meslem1547.97
John J. Martinez2446.34