Periodic event-triggered impulsive control for fully heterogeneous stochastic multi-agent systems with a time-varying topology

TL;DR

This paper introduces a novel periodic event-triggered impulsive control method for heterogeneous stochastic multi-agent systems with a time-varying topology, improving communication efficiency and achieving consensus.

Contribution

It proposes a new topology considering energy consumption, a virtual state space for heterogeneous agents, and PETICs with/without delays for stochastic MASs.

Findings

Successfully achieved mean-square exponential consensus in simulations.

Validated effectiveness with UAV and UGV models.

Enhanced information interaction control in heterogeneous MASs.

Abstract

In this paper, we focus on a periodic event-triggered impulsive control (PETIC) for fully heterogeneous stochastic multi-agent systems (MASs) with a time-varying topology. Firstly, a novel time-varying topology is established by incorporating the energy consumption of each agent. This topology enables active adjustment of the information interaction intensity between agents. Secondly, to address the difficulties that agents with different dimensions cannot communicate in fully heterogeneous stochastic MASs, a virtual state space is designed. According to the above framework, novel PETICs with/without actuation delays are presented to achieve the mean-square exponential consensus of fully heterogeneous stochastic MASs. Finally, the effectiveness of the proposed methods is verified through a numerical simulation of unmanned aerial vehicles and unmanned ground vehicles.