Estimating uncertain delayed genetic regulatory networks : An adaptive filtering approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

69 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)892-897
Journal / PublicationIEEE Transactions on Automatic Control
Volume54
Issue number4
Publication statusPublished - 2009

Abstract

Uncertain delayed genetic regulatory networks are investigated from an adaptive filtering approach based on an adaptive synchronization setting. For an unknown regulatory network with time delay and uncertain noise disturbance, several adaptive laws are derived to ensure the stochastic stability of the error states between the unknown network and the estimated model. The novelty lies in the fact that the designed adaptive laws are independent of the unknown system states and parameters, requiring only the output and structure of the underlying network. A representative simulation example is given to verify the effectiveness of the theoretical results. © 2009 IEEE.

Research Area(s)

  • Adaptive filtering, Disturbance attenuation, Genetic regulatory network (GRN), Stochastic stability, System synchronization, Time delay