Finite-time adaptive stability of gene regulatory networks

doi:10.1016/j.neucom.2019.02.011

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	Finite-time adaptive stability of gene regulatory networks
	Wu, Lulu 1,2,3; Liu, Kexin 4,5; Lu, Jinhu2,3,4,5 ; Gu, Haibo 2,3
	2019-04-21
发表期刊	NEUROCOMPUTING
ISSN	0925-2312
卷号	338 页码:222-232
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.
关键词	Gene regulatory network Adaptive control Finite-time stability Switching topology
DOI	10.1016/j.neucom.2019.02.011
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000461166200021
出版者	ELSEVIER SCIENCE BV
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/34144
专题	系统科学研究所
通讯作者	Wu, Lulu
作者单位	1.Shandong Jianzhu Univ, Sch Sci, Jinnan 250101, Peoples R China 2.Chinese Acad Sci, Acad Math & Syst Sci, LSC, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, 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.