Prescribed-Time Event-Triggered Consensus of Nonlinear Multi-Agent Systems Based on Time Base Generator

This dataset studies the Prescribed-Time consensus problem of nonlinear multi-agent system based on event-triggered control strategy. For a class of nonlinear multi-agent systems, an event-triggered control method is proposed. Secondly, a function is constructed according to the nature of the TBG function, and in the designed multi-agent system with nonlinear dynamics, the controller built by the function can make the state of the agent reach consistency within the time specified by the user under the corresponding event trigger conditions. According to the simulation, it is proved that the controller can effectively save communication energy. In addition, the simulation also proves that the number of event triggers can be controlled by adjusting the parameters in the event trigger function. Finally, the number of agents set in that dataset is five, and more can be set as needed. The dataset is suitable for MATLAB simulation software.