Based on model predictive event-triggered multi-agent systems design
Multi-agent systems(MAS)have received much attention within many fields,hut are still weak in distributed model predictive control(DMPC).For MAS with unknown system states,a dynamic Luenherger observer is introduced to estimate the system states.Then,based on the discrete Lyapunov stability,a new event-triggering strategy is designed using backstepping to obtain a trade-off between communication bandwidth utilization and control performance.Finally,the effectiveness of the algorithm is verified by simulation.
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