Robust state estimation for Markov jump genetic regulatory networks based on passivity theory

In this article, the robust state estimation problem for Markov jump genetic regulatory networks (GRNs) based on passivity theory is investigated. Moreover, the effect of time‐varying delays is taken into account. The focus is on designing a linear state estimator to estimate the concentrations of t...

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Veröffentlicht in:	Complexity (New York, N.Y.) N.Y.), 2016-05, Vol.21 (5), p.214-223
Hauptverfasser:	Lu, Li, He, Bing, Man, Chuntao, Wang, Shun
Format:	Artikel
Sprache:	eng
Schlagworte:	Genetics Markov analysis Markov jump genetic regulatory networks passivity theory Proteins Ribonucleic acid RNA Robust control state estimation
Online-Zugang:	Volltext
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