Finite-time adaptive stability of gene regulatory networks

doi:10.1016/j.neucom.2019.02.011

CORC > 数学与系统科学研究院 > 中国科学院数学与系统科学研究院 > 系统科学研究所

	Finite-time adaptive stability of gene regulatory networks
	Wu, Lulu 1,2,3; Liu, Kexin 4,5; Lu, Jinhu1,3,4,5 ; Gu, Haibo 1,3
刊名	NEUROCOMPUTING
	2019-04-21
卷号	338 页码:222-232
关键词	Gene regulatory network Adaptive control Finite-time stability Switching topology
ISSN号	0925-2312
DOI	10.1016/j.neucom.2019.02.011
英文摘要	This paper is concerned with the finite-time adaptive stability of genetic regulatory networks(GRNs). Traditionally, the finite-time stability criterion is often established based on the prior information on gene regulatory parameters. However, it is difficult to acquire the above prior information for GRNs. To overcome the above difficulty, we design controllers in non-switching and switching gene regulatory networks with adaptive technique, respectively. Then, we derive a sufficient criterion for system to achieve finite-time stability under the action of an adaptive controller and give an estimate of the steady-state time. Furthermore, we can also shorten the setting time required for the system to achieve finite-time stability under the designed adaptive controller. Finally, two numerical examples are given to illustrate the effectiveness of the proposed design method. (C) 2019 Published by Elsevier B.V.
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000461166200021
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/34143]
专题	系统科学研究所
通讯作者	Wu, Lulu
作者单位	1.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China 2.Shandong Jianzhu Univ, Sch Sci, Jinnan 250101, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, LSC, Beijing 100190, Peoples R China 4.Beihang Univ, Sch Automat Sci & Elect Engn, State Key Lab Software Dev Environm, Beijing 100083, Peoples R China 5.Beihang Univ, Beijing Avanced Innovat Ctr Big Data & Brain Mach, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Wu, Lulu,Liu, Kexin,Lu, Jinhu,et al. Finite-time adaptive stability of gene regulatory networks[J]. NEUROCOMPUTING,2019,338:222-232.
APA	Wu, Lulu,Liu, Kexin,Lu, Jinhu,&Gu, Haibo.(2019).Finite-time adaptive stability of gene regulatory networks.NEUROCOMPUTING,338,222-232.
MLA	Wu, Lulu,et al."Finite-time adaptive stability of gene regulatory networks".NEUROCOMPUTING 338(2019):222-232.