Sampling-Position-Based Event-Triggering Consensus of Nonlinear Second-Order Agents

In this brief, we study the consensus seeking problems for second-order nonlinear multi-agent systems with unavailable velocity measurements. An event-triggered control strategy is developed based on causally sampled position data only, which can reduce the controller update frequencies significantly and avoid continuous communications effectively. Some sufficient conditions for achieving consensus are obtained in light of Lyapunov-Krasovskii stability theory and linear matrix inequality technique.

Automated summary

In this paper, we investigate consensus seeking problems for second-order nonlinear multi-agent systems with unavailable velocity measurements. An event-triggered control strategy is proposed based on causally sampled position data only, which reduces the update frequencies of the controller and avoids continuous communications effectively. Sufficient conditions for achieving consensus are obtained by utilizing Lyapunov-Krasovskii stability theory and linear matrix inequality technique.