Consensus of Multi-Agent Markovian Jump Systems Under Event-Triggered Control

This paper mainly investigates the consensus problem of multi-agent Markovian jump systems (MJSs) under event triggering strategies. To reduce the frequency of system information transmission, information transmission will only occur if the trigger conditions are met. Due to the information transfer between MJSs and overall performance considerations involved in multi-agent systems, it poses difficulties and challenges to the design of event triggering strategies. Our control strategy ensures that the multi-agent system is consensus for a limited period of time when the corresponding conditions are satisfied. Finally, the effectiveness of these consensus conditions is proved by simulation experimental results.