DocumentCode
2618583
Title
A decentralized software sensor based approach for large-scale dynamical systems
Author
Boutayeb, M.
Author_Institution
CRAN, Nancy Univ., Nancy, France
fYear
2010
fDate
5-8 April 2010
Firstpage
400
Lastpage
403
Abstract
Inspired by simple and useful results on state estimation for a class of nonlinear systems, we investigate a decentralized software sensor based approach for large scale dynamical systems. The word "software sensor" means that we estimate the whole internal and inaccessible variables of all the subsystems (through a local procedure).
Keywords
Kalman filters; filtering theory; large-scale systems; state estimation; Kalman filter; Luenberger observer; complex dynamical networks; control design; decentralized software sensor based approach; deterministic system; estimation algorithm; filtering algorithm; large-scale system; local state vector estimation; real world system;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Conference, 2010 4th Annual IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-5882-0
Type
conf
DOI
10.1109/SYSTEMS.2010.5482344
Filename
5482344
Link To Document