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Synchronization of Markovian jumping complex networks with event-triggered control |
Shao Hao-Yu (邵浩宇), Hu Ai-Hua (胡爱花), Liu Dan (刘丹) |
School of Science, Jiangnan University, Wuxi 214122, China |
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Abstract This paper investigates event-triggered synchronization for complex networks with Markovian jumping parameters. Nonlinear dynamics with Markovian jumping parameters is considered for each node in a complex network. By utilizing the proposed event-triggered strategy, and based on the Lyapunov functional method and linear matrix inequality technology, some sufficient conditions for synchronization of complex networks are derived whether the transition rate matrix for the Markov process is completely known or not. Finally, a numerical example is presented to illustrate the effectiveness of the proposed theoretical results.
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Received: 09 January 2015
Revised: 02 April 2015
Accepted manuscript online:
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PACS:
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89.75.Fb
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(Structures and organization in complex systems)
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05.45.Xt
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(Synchronization; coupled oscillators)
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02.30.Yy
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(Control theory)
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02.50.Ga
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(Markov processes)
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Fund: Project supported by the National Natural Science Foundation of China (Grant No. 11202084). |
Corresponding Authors:
Hu Ai-Hua
E-mail: aihuahu@126.com
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Cite this article:
Shao Hao-Yu (邵浩宇), Hu Ai-Hua (胡爱花), Liu Dan (刘丹) Synchronization of Markovian jumping complex networks with event-triggered control 2015 Chin. Phys. B 24 098902
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