Sampled-data approach to state estimation performance for heterogeneous distributed system with fault

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

13 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1498-1508
Journal / PublicationAsian Journal of Control
Volume17
Issue number5
Online published11 Nov 2014
Publication statusPublished - Sep 2015

Abstract

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.

Research Area(s)

  • Fault, Heterogeneous distributed system, Sampled-data measurement, State estimation