Robust distributed state estimation for genetic regulatory networks with markovian jumping parameters

► The system parameters are norm-bounded and controlled by a Markov chain. ► A distributed state estimator is designed to approximates the genetic states. ► The criteria derived are in the form of the linear matrix inequalities (LMIs). In this paper, the robust distributed state estimation problem i...

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Bibliographic Details
Published in:	Communications in nonlinear science & numerical simulation Vol. 16; no. 10; pp. 4060 - 4078
Main Authors:	Lv, Bei, Liang, Jinling, Cao, Jinde
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.10.2011
Subjects:	Asymptotic properties Estimators Genetic regulatory networks (GRNs) Genetics Linear matrix inequalities (LMIs) Logic Markovian process Mathematical models Multiple sensors Networks Robust distributed state estimation Sensors State estimation Time-varying delays Time-varying delays Markovian process Multiple sensors Linear matrix inequalities (LMIs) Genetic regulatory networks (GRNs) Robust distributed state estimation
ISSN:	1007-5704, 1878-7274
Online Access:	Get full text
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