Event-triggered finite-time consensus for stochastic multi-agent systems

Abstract

<jats:p> This paper studies a consensus problem for a kind of stochastic multi-agent systems (SMAS). First, a reduced-order observer is designed to estimate unknown states in SMASs. Second, an event-triggered adaptive output feedback control method is presented. It can reduce the controller updates and communication burden. Moreover, the radial basis function neural networks are applied to approximate the unknown functions in systems. Finally, it is demonstrated that the proposed control scheme can achieve finite-time practical consensus for SMASs. Simulation results are provided to illustrate the effectiveness of the theoretical analysis. </jats:p>

Periodic event‐triggered control with multisource disturbances and quantized states

“…The basic concept of ETC is that the event-triggered condition can determine whether the sampled-data are transmitted, and the controller can be executed, if necessary. Some interesting results have been obtained for different kinds of complex system, such as nonlinear systems, 1,2 multi-agent systems, 3,4 fuzzy systems, 5,6 stochastic systems, 7,8 and so on. Meanwhile, various types of ETC strategies have been proposed, such as self-triggered control, 9,10 continuous-time event-triggered control, 11,12 discrete-time event-triggered control 13,14 and adaptive event-triggered control, 15,16 etc.…”

Event-triggered H-infinity finite-time consensus control for nonlinear second-order multi-agent systems with disturbances

“…Since its introduction, this method has become an important research area, has been widely applied in many fields, and research on MAS consensus based on event-triggered control has obtained some achievements. For general linear first-order MASs, the authors of [15][16][17][18][19] studied the eventtriggered finite-time control algorithm that can adjust the expected convergence time. The author of [20] provided a self-triggering algorithm to ensure consensus in the system.…”

Adaptive event-triggered distributed recursive filtering with stochastic parameters and faults

“…When the communication burden is a concern, eventtriggered communication mechanisms (ETCMs) are further employed to govern the data exchanges among neighbours and considerable research efforts have been made on filtering issues (Hu et al, 2020;Shi et al, 2014aShi et al, , 2014bYang et al, 2021). It is a demand-pulled communication rule, under which data is not allowed to be transmitted to the filter unless a certain event condition is violated, and a threshold adjusts the transmission frequencies (Hu et al, 2021).…”