Consensus Control of Discrete-time Multi-agent Systems with Dynamic Event-triggered Mechanism

This paper focuses on the consensus problem in linear discrete-time multi-agent systems. A distributed dynamic event-triggered mechanism is proposed. According to the related parameters and the system state variations, the threshold for the event-triggered condition can be flexibly changed, thereby saving communication and computational resources. Based on Lyapunov stability theory, this mechanism enables the system to achieve asymptotic consensus of all agents. An example is provided, and the results validate the superior performance of the proposed strategy.