Non-fragile sampled-data control of network systems subject to time-delay

This paper studies the consensus problem of non-linear network systems subject to time-delay through aperiodic sampled-data control, which is more desirable and flexible than periodic sampling control. By receiving the relative information of the neighboring nodes, each node can obtain control input...

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Bibliographic Details
Published inInternational journal of systems science Vol. 50; no. 4; pp. 843 - 857
Main Authors He, Shenghuang, Wu, Yuanqing, Li, Yanzhou
Format Journal Article
LanguageEnglish
Published London Taylor & Francis 12.03.2019
Taylor & Francis Ltd
Subjects
Algorithms
Computer simulation
Consensus
Control stability
Delay
Mathematical analysis
Matrix methods
network systems
non-fragile
Nonlinear systems
Optimization
sampled-data control
Sampling
Stability criteria
Time dependence
time-varying delay
Upper bounds
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Summary:This paper studies the consensus problem of non-linear network systems subject to time-delay through aperiodic sampled-data control, which is more desirable and flexible than periodic sampling control. By receiving the relative information of the neighboring nodes, each node can obtain control input signals at the discrete sampling instants. A new stability criterion is established for network systems via using a time-dependent Lyapunov functional and the free-weighting matrix method. The maximum upper bound of sampling interval can be achieved by solving Linear matrix inequality optimization problem. Under the basic work of a non-fragile sampled-data controller, network systems with time-delay are asymptotically stable. In the end, two numerical simulation examples can be provided to illustrate the validity of the application of the proposed algorithm.
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content type line 14
ISSN:0020-7721
1464-5319
DOI:10.1080/00207721.2019.1575486