Title
Distributed Bounded-Error State Estimation Based On Practical Robust Positive Invariance
Abstract
We propose a state estimator for linear discrete-time systems composed by coupled subsystems affected by bounded disturbances. The architecture is distributed in the sense that each subsystem is equipped with a local state estimator that exploits suitable pieces of information from parent subsystems. Furthermore, each local estimator reconstructs the state of the corresponding subsystem only. Different from methods based on moving horizon estimation, our approach does not require the online solution to optimisation problems. Our state estimation scheme, which is based on the notion of practical robust positive invariance, also guarantees satisfaction of constraints on local estimation errors and it can be updated with a limited computational effort when subsystems are added or removed.
Year
DOI
Venue
2015
10.1080/00207179.2015.1040844
INTERNATIONAL JOURNAL OF CONTROL
Keywords
Field
DocType
distributed state estimation, robust positive invariant sets, bounded error estimation
Mathematical optimization,State estimator,Invariant (physics),Control theory,Moving horizon estimation,Bounded error,Mathematics,Bounded function,Estimator
Journal
Volume
Issue
ISSN
88
11
0020-7179
Citations 
PageRank 
References 
3
0.41
15
Authors
3
Name
Order
Citations
PageRank
Stefano Riverso116717.28
Daria Rubini230.41
Giancarlo Ferrari-Trecate383177.29