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

Jiamu Zhou, Hailing Dong, Jianwen Feng

Abstract: 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).