Robust Stability of Discrete-Time Stochastic Genetic Regulatory Networks

Grienggrai Rajchakit (), Praveen Agarwal () and Sriraman Ramalingam ()
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Grienggrai Rajchakit: Maejo University, Department of Mathematics
Praveen Agarwal: Ajman University, Nonlinear Dynamics Research Center
Sriraman Ramalingam: Kalasalingam Academy of Research and Education, Department of Mathematics

Chapter Chapter 12 in Stability Analysis of Neural Networks, 2021, pp 373-401 from Springer

Abstract: Abstract In this chapter, the problem of approximation of state variables for discrete-time stochastic GRN models with leakage, distributed, and probabilistic measurement delays is investigated. We design a linear estimator in such a way that the absorption of messenger ribonucleic acid (mRNA) and protein can be approximated through the known measurement outputs.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-6534-9_12

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DOI: 10.1007/978-981-16-6534-9_12

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