Adaptive Saturated Event-triggered Control for Multiagent Systems

This research proposes an adaptive event-triggered control strategy with flexible prescribed performance for nonlinear multi-agent systems subject to asymmetric input saturation. A novel dynamic event-triggered mechanism is introduced to reduce communication burden, while a single adaptive law estimates unknown uncertainties. Simulation results validate the effectiveness of the approach.