中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Pinning Control and Controllability of Complex Dynamical Networks

文献类型:期刊论文

作者Guanrong Chen
刊名International Journal of Automation and Computing
出版日期2017
卷号14期号:1页码:1-9
关键词Complex network pinning control controllability linear time-invariant (LTI) system temporally switching network graph theory.
ISSN号1476-8186
DOI10.1007/s11633-016-1052-9
文献子类IJAC-2016-09-233.pdf
英文摘要In this article, the notion of pinning control for directed networks of dynamical systems is introduced, where the nodes could be either single-input single-output (SISO) or multi-input multi-output (MIMO) dynamical systems, and could be non-identical and nonlinear in general but will be speci¯ed to be identical linear time-invariant (LTI) systems here in the study of network controllability. Both state and structural controllability problems will be discussed, illustrating how the network topology, node-system dynamics, external control inputs and inner dynamical interactions altogether affect the controllability of a general complex network of LTI systems, with necessary and sufficient conditions presented for both SISO and MIMO settings. To that end, the controllability of a special temporally switching directed network of linear time-varying (LTV) node systems will be addressed, leaving some more general networks and challenging issues to the end for research outlook.
源URL[http://ir.ia.ac.cn/handle/173211/42461]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China
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GB/T 7714
Guanrong Chen. Pinning Control and Controllability of Complex Dynamical Networks[J]. International Journal of Automation and Computing,2017,14(1):1-9.
APA Guanrong Chen.(2017).Pinning Control and Controllability of Complex Dynamical Networks.International Journal of Automation and Computing,14(1),1-9.
MLA Guanrong Chen."Pinning Control and Controllability of Complex Dynamical Networks".International Journal of Automation and Computing 14.1(2017):1-9.

入库方式: OAI收割

来源:自动化研究所

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