State Estimation of Genetic Regulatory Networks with Leakage, Constant, and Distributed Time-Delays

Ju H. Park (), Tae H. Lee, Yajuan Liu and Jun Chen
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Ju H. Park: Yeungnam University, Department of Electrical Engineering
Tae H. Lee: Chonbuk National University, Division of Electronic Engineering
Yajuan Liu: North China Electric Power University, Control and Computer Engineering
Jun Chen: Jiangsu Normal University, School of Electrical Engineering and Automation

Chapter Chapter 13 in Dynamic Systems with Time Delays: Stability and Control, 2019, pp 295-311 from Springer

Abstract: Abstract This chapter is concerned with the problem of designing state estimator for genetic regulatory networksGenetic regulatory networks (GRNs). Three types of delays are considered for modeling of GRNs, that is, leakage delay, normal constant delay, and distributed delay. The criteria for designing estimator are derived in the form of linear matrix inequality(LMI) and its’ effectiveness is shown by two numerical examples.

Keywords: Genetic regulatory networks; Leakage delay; Distributed delay; State estimation (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-13-9254-2_13

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DOI: 10.1007/978-981-13-9254-2_13

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