DocumentCode
3069187
Title
Decentralized estimation: an indirect method
Author
Bekhouche, Noweddine ; Feliachi, Ali
Author_Institution
Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ., Morgantown, WV, USA
fYear
1998
fDate
8-10 Mar 1998
Firstpage
366
Lastpage
369
Abstract
Presents an indirect method for decentralized estimation of interconnected large scale systems. The estimators are obtained in two steps: an approximate model for the desired local variables, using optimal aggregation techniques, is derived in the first step and in the second step a local filter is derived using the model obtained in the first step and local measurements. Kalman filtering and H-∞ filtering methods are the means of obtaining decentralized estimators
Keywords
Kalman filters; eigenvalues and eigenfunctions; filtering theory; interconnected systems; reduced order systems; state estimation; H-∞ filtering method; Kalman filtering; approximate model; decentralized estimation; indirect method; interconnected large scale systems; local filter; optimal aggregation techniques; Artificial intelligence; Computer science; Eigenvalues and eigenfunctions; Filtering; Kalman filters; Large-scale systems; Reduced order systems; State estimation; Time measurement; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
Conference_Location
Morgantown, WV
ISSN
0094-2898
Print_ISBN
0-7803-4547-9
Type
conf
DOI
10.1109/SSST.1998.660097
Filename
660097
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