Event-Triggered Consensus Tracking Control of Stochastic Nonlinear Multiagent Systems

Abstract

This paper addresses the event-triggered consensus tracking problem for a class of higher order stochastic nonlinear multiagent systems. First, we propose a new protocol design framework. Then, a novel adaptive consensus tracking protocol, under which the continuous communication is not required, is developed for the stochastic nonlinear multiagent systems. Using the Lyapunov functional approach and the stochastic theory, it is proven that the consensus tracking control objective can be achieved by the designed control law. The Zeno behavior was excluded by showing that there exists a lower bound for interevent instants. Finally, to verify the effectiveness of the given event-triggered control scheme, two numerical examples are provided.