PROJECT TITLE :

Distributed event-triggered consensus in multi-agent systems with non-linear protocols

ABSTRACT:

In this study, the distributed event-triggered consensus downside in multi-agent systems with non-linear protocols is discussed. Within the proposed methods, every agent adopts a native control based mostly on a mix of non-linear functions of relative states, and also the couplings among agents are not necessarily symmetric and constant. By employing a graph-theoretical-reasoning based Lyapunov perform, the authors gift 2 sorts of distributed event-triggered strategies, namely state-dependent and time-dependent strategies. Through the transmission of states at discrete instants, the former can simultaneously scale back the updates of each control and communication. By virtue of world data like the path between arbitrary two agents, the latter can decide the updating time sequence for every agent by its own state and a given time-dependent function. In each cases, a positive lower certain for inter-event times can be found such that the Zeno behaviour is eliminated. Numerical simulations show the effectiveness of the higher than two ways.