Observer-based event-triggered consensus of multi-agent systems with input saturation

Abstract

This paper investigates the observer-based event-triggered consensus problem for input-saturated general linear multi-agent systems (MASs), where the states of agents are not always measurable. Based on the output information of MASs and the low-gain feedback technique, a reasonable state observer is designed to estimate the state variables of agents. An event-triggered consensus algorithm is also proposed based on the estimated state, which ensures the semi-global leaderless consensus of the considered MASs can be realized. Finally, one numerical simulation example is provided to demonstrate our proposed method.