Evolution of algorithms for managing complex systems
A comparative analysis of the evolution of control methods for complex systems: from classical PID controllers to modern approaches based on Reinforcement Learning and Deep Reinforcement Learning, showing that RL/DRL systems surpass PID in energy efficiency and adaptability in dynamic environments, but require signific...