DocumentCode
3534257
Title
Sparse distributed observers for a network of dynamical systems
Author
Edwards, Chris ; Menon, Prathyush P.
Author_Institution
Coll. of Eng., Math. & Phys. Sci., Univ. of Exeter, Exeter, UK
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
4883
Lastpage
4888
Abstract
In this paper, a distributed observer structure is proposed to estimate the states of a large scale network of linear time invariant systems coupled with a positive, time varying coupling strength. The distributed observer comprises distinct sub-observers which require only local node level information and exchange their local state estimates with their `neighbouring´ observers. The key idea here is to use a minimum number, or at least relatively few, measurements from the network being monitored to reduce the sensor requirements. The problem is formulated as a two stage optimisation problem. The proposed approach is demonstrated with numerical examples of varying complexity.
Keywords
computational complexity; large-scale systems; linear systems; network theory (graphs); observers; optimisation; time-varying systems; dynamical system network; large scale network; linear time invariant systems; local node level information; local state estimate exchange; neighbouring observers; positive time varying coupling strength; sensor requirements; sparse distributed observer structure; subobservers; two-stage optimisation problem; varying complexity; Gain measurement; Gold;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760655
Filename
6760655
Link To Document