Please use this identifier to cite or link to this item: https://doi.org/10.1002/asjc.330
Title: Exponential H ∞ filtering for switched stochastic genetic regulatory networks with random sensor delays
Authors: Zhang, D.
Yu, L.
Wang, Q.-G. 
Keywords: Exponential H ∞ filtering
Genetic regulatory networks
Hybrid switching systems
Time delays
Issue Date: Sep-2011
Citation: Zhang, D., Yu, L., Wang, Q.-G. (2011-09). Exponential H ∞ filtering for switched stochastic genetic regulatory networks with random sensor delays. Asian Journal of Control 13 (5) : 749-755. ScholarBank@NUS Repository. https://doi.org/10.1002/asjc.330
Abstract: The exponential H ∞ filtering problem is investigated in this paper for a class of switching-type stochastic genetic regulatory networks (GRNs) with random sensor delays. The objective is to estimate the true concentrations of the mRNA and protein in the presence of random sensor delays. By using the average dwell time approach, sufficient conditions are derived to ensure the filtering error dynamics are mean-square exponentially stable with a prescribed H ∞ disturbance attenuation level. The filter gains are given in terms of the solution to a set of linear matrix inequalities (LMIs). A numerical example is presented to illustrate the effectiveness of the proposed design method. © 2010 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society.
Source Title: Asian Journal of Control
URI: http://scholarbank.nus.edu.sg/handle/10635/82326
ISSN: 15618625
DOI: 10.1002/asjc.330
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