Observer-based dynamic event-triggered control for nonstrict-feedback stochastic nonlinear multiagent systems

Highlights：

• By designing an event-triggered estimator to estimate the signal of leader, the continuous communication between agents is avoided, and the consensus tracking control problem can be transformed into the reference trajectory tracking problem.

• A modified dynamic event-triggered mechanism (DETM) is proposed to schedule the triggering condition. Moreover, based on barrier Lyapunov function, an event-triggered adaptive output feedback control scheme is designed to ensure the constraints of agent states and characterize the convergence of consensus tracking errors.

摘要

•Compared with the existing results, the consensus tracking issue of nonlinear nonstrict-feedback stochastic MASs with unmeasurable states, which has rarely been studied, is considered in this paper. By using the variable separation approach and designing a linear observer, an adaptive NN control technique is applied to deal with stochastic interference and unknown functions with whole states.•By designing an event-triggered estimator to estimate the signal of leader, the continuous communication between agents is avoided, and the consensus tracking control problem can be transformed into the reference trajectory tracking problem.•A modified dynamic event-triggered mechanism (DETM) is proposed to schedule the triggering condition. Moreover, based on barrier Lyapunov function, an event-triggered adaptive output feedback control scheme is designed to ensure the constraints of agent states and characterize the convergence of consensus tracking errors.