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

Abstract

This paper is concerned with the leader-following consensus problem for a class of nonlinear 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.