Event-triggered communication for synchronization of Markovian jump delayed complex networks with partially unknown transition rates

Highlights：

• The network model in this paper involves time delay and partly unknown transition rates, which is more practical than the models in [18], [34], [35], [38].

• Different from the most existing results with partly unknown transition rates [24], [25], [26], the synchronization trajectory in this paper is dynamic, which will be adjusted according to the states of nodes.

• A randomly occurring event-triggered control strategy is proposed to study the synchronization issue of Markovian jump delayed complex networks with partly unknown transition rates.

• The positive lower bound of the event intervals is obtained which can exclude undesired accumulation of event instants (Zeno behaviors).

摘要

•The network model in this paper involves time delay and partly unknown transition rates, which is more practical than the models in [18], [34], [35], [38].•Different from the most existing results with partly unknown transition rates [24], [25], [26], the synchronization trajectory in this paper is dynamic, which will be adjusted according to the states of nodes.•A randomly occurring event-triggered control strategy is proposed to study the synchronization issue of Markovian jump delayed complex networks with partly unknown transition rates.•The positive lower bound of the event intervals is obtained which can exclude undesired accumulation of event instants (Zeno behaviors).

论文关键词：Delayed complex networks,Markovian jump,Partially unknown transition rates,Randomly occurring control,Event-triggered strategy

论文评审过程：Received 25 March 2016, Revised 19 June 2016, Accepted 21 June 2016, Available online 18 July 2016, Version of Record 29 September 2016.