Event-triggered communication for synchronization of Markovian jump delayed complex networks with partially unknown transition rates.
Applied Mathematics and Computation(2017)
摘要
In this paper, exponential synchronization problems are investigated for an array of Markovian jump delayed complex networks with partially unknown transition rates and discontinuous diffusions. To impel the array complex networks to achieve exponential synchronization, a new randomly occurring event-triggered control strategy is proposed. The idea of event-triggered control strategy is that the coupling term and controller update data only at the event-triggered instants, which can reduce the communication load and energy consumption. By constructing a novel stochastic Lyapunov-Krasovskii function, some exponential synchronization criteria are obtained in terms of LMIs and famous Halanay inequality. Furthermore, we obtain a positive lower bound of the event intervals which can exclude the Zeno behaviors. Finally, a simulation example is given to illustrate the effectiveness of the theoretical results. (C) 2016 Elsevier Inc. All rights reserved.
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关键词
TIME-VARYING DELAYS,INTERMITTENT PINNING CONTROL,COUPLED DYNAMICAL-SYSTEMS,NEURAL-NETWORKS,CLUSTER SYNCHRONIZATION,SWITCHING COUPLINGS,IMPULSIVE CONTROL,LINEAR-SYSTEMS,TOPOLOGY,MATRIX
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