State Observer Design of Coupled Genetic Regulatory Networks with Reaction-Diffusion Terms via Time-Space Sampled-Data Communications

Xiaona Song, Xingru Li, Shuai Song, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, state observation of coupled reaction-diffusion genetic regulatory networks (GRNs) with time-varying delays is investigated under Dirichlet boundary conditions. First, the above GRNs are constructed to model gene regulatory properties, where the feedback regulation function of the GRNs is assumed to exhibit the Hill form and a novel method to deal with it is introduced. Then a time-space sampled-data state observer is designed for the mentioned networks and new criteria are established by utilizing the Lyapunov stability theory and the inequality techniques of Halanay et al. Finally, the validity of the theoretical results is proved by numerical examples.

Original languageEnglish
JournalIEEE/ACM Transactions on Computational Biology and Bioinformatics
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Coupling
  • Couplings
  • Delays
  • Genetic regulatory networks
  • Genetics
  • Mathematical models
  • Observers
  • Proteins
  • Reaction-diffusion
  • Regulation
  • State observation
  • Time-space sampled-data

ASJC Scopus subject areas

  • Biotechnology
  • Genetics
  • Applied Mathematics

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