Please use this identifier to cite or link to this item:
Scopus Web of ScienceĀ® Altmetric
Type: Journal article
Title: Filter design with adaptation to time-delay parameters for genetic regulatory networks
Author: Jiao, H.
Shi, M.
Shen, Q.
Zhu, J.
Shi, P.
Citation: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016; PP(99):1-8
Publisher: IEEE
Issue Date: 2016
ISSN: 1545-5963
Statement of
Hongmei Jiao, Michael Shi, Qikun Shen, Junwu Zhu, Peng Shi
Abstract: In existing works, the filters designed for delayed genetic regulatory networks contain time delay. If the time delay is unknown, the filters do not work in practical applications. In order to overcome the shortcoming in such existing works, this paper investigates the filter design problem of genetic regulatory networks with unknown constant time delay, and a novel adaptive filter is introduced, which can estimate online not only unknown network parameters but also the unknown time delay. By the Lyapunove approach, it is shown that the estimating errors asymptotically converge to the origin. Finally, simulation results are presented to illustrate the effectiveness of the proposed new design method.
Rights: (c) 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See for more information.
DOI: 10.1109/TCBB.2016.2606430
Grant ID:
Published version:
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

Files in This Item:
File Description SizeFormat 
  Restricted Access
Restricted Access165.69 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.