Chang Mook Kang

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About

Chang Mook Kang is a leading researcher in advanced control systems and autonomous vehicle technologies. His primary research areas include sliding-mode control for robotic manipulators and the integration of simulation platforms for autonomous driving. Kang’s most significant contribution is the development of a “Widely and Stably Adaptive Sliding-Mode Control” (WS-ASMC) with a nonsingular terminal sliding variable, published in 2020. This work introduced novel adaptive switching gains (W-ASG and S-ASG) that dramatically enhance both the reaching and sliding phases of control, offering superior robustness and stability for complex robot manipulators. With 29 citations, this paper has become a foundational reference for researchers seeking to overcome the limitations of conventional sliding-mode control. In a more recent 2025 study, Kang demonstrated his forward-looking approach by proposing a method to integrate electronic power steering (EPS) systems with autonomous driving control using the CARLA simulator and Robot Operating System (ROS). This work, already garnering 4 citations, highlights his ability to bridge theoretical control design with practical, high-fidelity simulation environments. Through these contributions, Kang is shaping the future of both intelligent robotics and self-driving vehicle systems.