Output Feedback Tracking Consensus of Switched Stochastic Uncertain Multiagent Systems via Event-Triggered Control

This article explores the adaptive event-triggered output consensus control problem for a class of switched stochastic multiagent systems (MASs) with unmeasured states and unknown nonlinearity. First, in order to overcome the limitations facing the average dwell-time method of consensus for switched MASs proposed in the existing works, the adaptive control protocol within the framework of mode-dependent average dwell time (MDADT) is introduced to expand the scope of applications. Furthermore, through a novel gain-scheduled state observer, the fuzzy logic systems are applied to approximate the unknown nonlinear functions. The dynamic surface design method is used to remove the need for derivative calculations of the constructed virtual controls, significantly the complexity of calculations. In addition, under the framework of backstepping design, the switching threshold event-triggered control strategy is developed to effectively decrease the communication load and balance the performance of MASs. The proposed control protocol ensures that all signals within the closed-loop systems are ultimately bounded under the MDADT switching property. Finally, the simulation results are obtained to validate the proposed control mechanism.