期刊
NEURAL NETWORKS
卷 74, 期 -, 页码 52-57出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2015.11.002
关键词
Complex networks; Synchronization; Event-triggering; Discrete-time event detection; Markovian switching topologies; Asynchronous intermittent communication
资金
- National Natural Science Foundation of China [61503310, 61402381]
- Fundamental Research Funds for the Central Universities [XDJK2014C017]
- China Postdoctoral Foundation [2014M552319]
- Chongqing research and innovation project of graduate students [CYS2015054]
- Science and technology project of Chongqing Education Committee [KJ130519]
- Natural Science Foundation project of CQCSTC [ctsc2014cyjA40053]
This paper concerns the synchronization problem of complex networks with the random switching topologies. By modeling the switching of network topologies as a Markov process, a novel event-triggered synchronization strategy is proposed. Unlike the existing strategies, the event detection of this strategy only works at the network topology switching time instant, which can significantly decrease the communication frequency between nodes and save the network resources. Under this strategy, the synchronization problem of complex network is equivalently converted to the stability of a class of Markovian jump systems with a time-varying delay. By using the Lyapunov-Krasovskii functional method and the weak infinitesimal operation, a sufficient condition for the mean square synchronization of the complex networks subject to Markovian switching topologies is established. Finally, a numerical simulation example is provided to demonstrate the theoretical results. (C) 2015 Elsevier Ltd. All rights reserved.
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