This project focuses on system identification and PID controller design using measured response data. The objective was to model the system dynamics and improve performance through closed-loop control ...

If you enjoyed this article, I’d like to ask for your support. Scientific American has served as an advocate for science and industry for 180 years, and right now may be the most critical moment in ...

This project presents a comparative study and implementation of control system techniques for regulating the speed of a DC motor. The primary focus is the ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Achieving precise and adaptive control of quadcopter systems is essential for aerial robotics, autonomous navigation, and dynamic environment interaction. This study investigates the implementation of ...

Abstract: To address the challenge of achieving high-precision control for multidegree-of-freedom heavy-duty hydraulic robotic arms, this article proposes a reinforcement learning-based ...

Some people love systemd and can't stop raving about it; others love to hate it and can't stop throwing shade at it. Even though systemd remains divisive, one thing's for sure: since nearly all modern ...