Event Triggered Control

Event-triggered control (ETC) optimizes control system efficiency by activating control actions only when necessary, reducing computational load and energy consumption. Current research focuses on developing ETC strategies for complex systems, employing models like spiking neural networks and reinforcement learning algorithms to achieve energy efficiency and stability guarantees, particularly in applications such as power grids and multi-agent systems. This approach is significant for improving the performance and resource utilization of various control systems, ranging from robotics and industrial automation to communication networks and renewable energy integration. The development of robust and efficient ETC methods is crucial for enabling the deployment of increasingly complex and resource-constrained cyber-physical systems.