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
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;
Conference_Titel :
System Theory, 1998. Proceedings of the Thirtieth Southeastern Symposium on
Conference_Location :
Morgantown, WV
Print_ISBN :
0-7803-4547-9
DOI :
10.1109/SSST.1998.660097
