Optimization techniques like Genetic-based algorithms derive the Genetic operations to yield the optimal result in a given optinmzation problem. In the realm of controller tunning, finding the most ...

Abstract: This paper proposes a PID controller design for Magnetic Levitation System (MLS), focusing on efficient parameter tuning using the Genetic Algorithm (GA). Additionally, the study examines ...

Abstract: In view of the characteristics of the industrial production control system with multi-parameters, nonlinear, long time delay, an improved Fuzzy-PID controller was put forward with real time ...

This project is a dynamic and realistic Adaptive Cruise Control (ACC) system developed using MATLAB Simulink. It features a PID control algorithm to maintain a safe following distance and adjust the ...

In the nearly 40 years since electronic control systems first became common features of industrial machines, controls theory has necessarily evolved to keep pace with machine design. Early on, systems ...

The introduction of inverse feedback and control loops incorporating it was a brilliant advance in the history of engineering, but it was soon followed (probably on that very same day!) by the ...