中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 数学与系统科学研究院
  3. 中国科学院数学与系统科学研究院
  4. 系统科学研究所
Finite-time adaptive stability of gene regulatory networks

文献类型：期刊论文

作者Wu, Lulu1,2,3; Liu, Kexin4,5; Lu, Jinhu1,3,4,5; Gu, Haibo1,3
刊名NEUROCOMPUTING
出版日期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
DOI10.1016/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
WOS记录号WOS:000461166200021
出版者ELSEVIER SCIENCE BV
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.

入库方式： OAI收割

来源：数学与系统科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。