Energy Efficient Control

Energy-efficient control focuses on minimizing energy consumption while achieving desired system performance, spanning applications from robotics and manufacturing to smart homes and energy grids. Current research emphasizes developing controllers using reinforcement learning, active inference, and physics-guided neural networks, often incorporating hierarchical control structures and explainable AI techniques to improve transparency and scalability. These advancements are crucial for improving the sustainability and efficiency of various systems, particularly in resource-constrained environments and applications requiring real-time responsiveness.