Output feedback leader-following consensus for nonlinear stochastic multiagent systems: The event-triggered method

This paper is concerned with the leader-following consensus problem for a class of non-linear stochastic multiagent systems with immeasurable state variables. By virtual of the Lyapunov function method and the stochastic analysis techniques, the novel distributed protocols are established only with the output measurements such that the state variables of all followers ultimately track those of the leader. So as to reduce the frequencies of controller update and communication in the control process while preserving the desired tracking performance of each follower, the event-triggered as well as self-triggered mechanisms are concurrently considered in the output feedback control architecture. Simulation examples are presented to illustrate the effectiveness and validity of the theoretical results. (c) 2020 Elsevier Inc. All rights reserved.

Automated summary

This paper addresses the leader-following consensus problem for a class of non-linear stochastic multiagent systems with immeasurable state variables. Novel distributed protocols are established using Lyapunov function method and stochastic analysis techniques, with the consideration of event-triggered and self-triggered mechanisms to reduce controller update and communication frequency. Simulation examples illustrate the effectiveness and validity of the theoretical results.