DocumentCode :
728239
Title :
Cooperative ℋ-estimation for large-scale interconnected linear systems
Author :
Jingbo Wu ; Ugrinovskii, Valery ; Allgower, Frank
Author_Institution :
Inst. for Syst. Theor. & Autom. Control, Univ. of Stuttgart, Stuttgart, Germany
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
2119
Lastpage :
2124
Abstract :
In this paper, a synthesis method for distributed estimation is presented, which is suitable for dealing with large-scale interconnected linear systems with disturbance. The main feature of the proposed method is that local estimators only estimate a reduced set of state variables and their complexity does not increase with the size of the system. Nevertheless, the local estimators are able to deal with lack of local detectability. Moreover, the estimators guarantee ℋ-performance of the estimates with respect to model and measurement disturbances.
Keywords :
H control; control system synthesis; interconnected systems; large-scale systems; linear systems; ℋ-performance; cooperative ℋ-estimation; distributed estimation; large-scale interconnected linear systems; local detectability; measurement disturbances; state variables; synthesis method; Algorithm design and analysis; Complexity theory; Estimation; Integrated circuits; Kalman filters; Linear systems; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7171046
Filename :
7171046
Link To Document :
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