A Proportional-Integral-Derivative control loop is a feedback system employed to achieve a specified output in industrial processes, such as temperature, pressure, flow, or speed. The controller repeatedly computes an error value between a desired setpoint and a measured process variable and adjusts control inputs accordingly. At the core of any modern industrial process is a control system guaranteeing precision, stability, and efficiency. Perhaps the most commonly used are PID (Proportional-Integral-Derivative) controllers. Although conventional PID loops have been around for decades, they tend to be limited by their static nature. What is your take on AI in PID control ?

