Event-Triggered Leader-Following Tracking Control of Multi-Agent Systems with Multivariable Single Integrator Dynamics

In this paper, the communications between follower agents in the leader-following tracking control of Multi-agent systems with multivariable single integrator dynamics, are reduced. A fully distributed control scheme is proposed in which a local non-combinational decision variable (DV) is continuously observed. If the norm of the DV’s measurement error violates a time-dependent threshold, an event is occurred and the DV is sampled, stored in a data store unit (DSU) and sent to a neighbor-to-neighbor low bandwidth communication network (CN). Also, the last sampled neighbors’ data received from the CN, are stored in the DSU. A control law computed from the last stored data, is fed to the agents’ dynamics. It is shown that under this control law and by using the proposed event-triggering mechanism, the follower agents’ tracking error remains bounded and the resultant closed-loop system does not exhibit Zeno behavior. The numerical simulation is included to verify the effectiveness of the proposed control scheme.