Mission

The Laboratory of Dynamic Systems and Control is committed to advancing control, modeling, and identification theories and applying them to a wide range of engineering systems. In recent years, our research has placed significant emphasis on the integration of computational capabilities. For instance, we have employed techniques such as sensor fusion and machine learning to enhance the automatic control of robots and autonomous vehicles. Apart from projects supported by the National Science and Technology Council, the laboratory actively collaborates with industry on multiple initiatives, assisting domestic companies in the development of high-speed magnetic levitation spindles, control systems for industrial robotic arms, semiconductor automation equipment, medical-surgical robots, and so on.