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Sampled‐Data Approach to State Estimation Performance for Heterogeneous Distributed System with Fault
Author(s) -
Chen Shun,
Ho Daniel W. C.
Publication year - 2015
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.1061
Subject(s) - estimator , state (computer science) , estimation , computer science , scheme (mathematics) , fault (geology) , index (typography) , distributed computing , control theory (sociology) , algorithm , engineering , mathematics , control (management) , statistics , artificial intelligence , mathematical analysis , systems engineering , seismology , world wide web , geology
This paper considers the state estimation performance for heterogeneous distributed system with fault based on sampled‐data measurement. Firstly, a performance index for distributed state estimation is proposed. Based on the sampled‐data measurement of the heterogeneous distributed system, distributed state estimators are constructed. It is proved that by analyzing the distributed state estimation error systems, the required performance index for overall state estimation can be obtained using linear matrix inequality method. Finally, a simulation example is used to illustrate the effectiveness of the proposed theoretical scheme.