Event-Triggered and Self-Triggered Control for Discrete-Time Average Consensus Problems
Kenta Hamada, Naoki Hayashi, Shigemasa Takai · SICE Journal of Control Measurement and System Integration · 2014
This paper considers event-triggered and self-triggered control for discrete-time consensus problems. The event-triggered approach for multi-agent systems has attracted great attention in terms of reducing computation resources. In this paper, we show sufficient conditions to achieve an average consensus for centralized and distributed discrete-time event-triggered protocols. The results are then extended to self-triggered control where each agent computes its next update time based on the measurement errors of its neighbor agents.