Event Triggered

Event-triggered control aims to optimize communication and computation in distributed systems by transmitting information only when necessary, triggered by specific events rather than periodic updates. Current research focuses on developing efficient event-triggering mechanisms, often employing predictive models or adaptive control strategies, within various contexts such as distributed optimization, consensus-based control, and federated learning. This approach offers significant potential for reducing communication overhead and improving resource utilization in multi-agent systems, particularly in resource-constrained environments like wireless sensor networks and robotic swarms. The resulting improvements in efficiency and scalability have broad implications across numerous fields.