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Adaptive filtering for unknown genetic regulatory networks with disturbance attenuation

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

In this paper, the adaptive filtering problem for unknown genetic regulatory networks with disturbance attenuation is investigated based on Lyapunov method and adaptive techniques. A new regulatory network and several adaptive laws are designed to ensure the stochastic stability of the error states between the unknown and the estimated networks. The designed adaptive laws are independent of the unknown system states and parameters, where the only required information is the structure of the network. A simulation example is given to verify the theoretical results.
Original languageEnglish
Title of host publicationProceedings of the 27th Chinese Control Conference, CCC
Pages414-418
DOIs
Publication statusPublished - 2008
Event27th Chinese Control Conference (CCC' 08) - Kunming, Yunnan, China
Duration: 16 Jul 2008 → 18 Jul 2008

Conference

Conference27th Chinese Control Conference (CCC' 08)
PlaceChina
CityKunming, Yunnan
Period16/07/08 → 18/07/08

Research Keywords

  • Adaptive filtering
  • Disturbance attenuation
  • Genetic regulatory network
  • Lyapunov method

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