Event-Triggered Control for a Class of Multi-Agent Systems with Unknown Disturbances and Output Constraints

This paper addresses the event-triggered consensus tracking control problem of multi-agent systems with unknown dead zones and unknown disturbances, subject to constraints on the agents output. The nonlinear functions are estimated by using the neural networks. Furthermore, a state transformation technique is presented to address the problem of the constrained control. Besides this, the event-triggered consensus controller is considered to save the communication bandwidth and resource. Detailed analysis is presented based on Lyapunov stability theory which guarantees that the weight estimation errors and local consensus errors are uniformly ultimately bounded. Finally, the numerical simulation results are presented to verify the effectiveness of the proposed output consensus protocol