PID Controller

PID controllers, a cornerstone of control systems, aim to regulate a system's output by adjusting inputs based on proportional, integral, and derivative error terms. Current research explores enhancements to PID controllers, including data-driven design methods and integration with more sophisticated algorithms like reinforcement learning (RL) to improve performance in complex systems such as autonomous vehicles and robots. This research is significant because it addresses limitations of traditional PID controllers, particularly in handling non-linear dynamics and adapting to changing environments, leading to more robust and efficient control in various applications.