Optimization is a critical approach in decision-making processes aimed at enhancing both safety and operational efficiency in industrial systems. This research focuses on the implementation of the Linear Quadratic Regulator (LQR) and Linear Quadratic Tracking (LQT) control strategies to optimize the FL57BL02 DC motor control system, widely used in industrial automation, particularly in high-risk applications such as conveyors and robotic systems. The LQR method is employed to enhance system stability by minimizing output deviations and ensuring optimal control performance under varying load conditions. Meanwhile, LQT is utilized to improve trajectory tracking accuracy, ensuring that the syst... More >