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About

Jung-Shan Lin is a control systems researcher whose work has made meaningful contributions to the field of nonlinear control, with a particular focus on robotic manipulator systems. Over more than a decade of sustained research, Lin has specialized in developing advanced backstepping control methodologies — a recursive design technique for stabilizing complex nonlinear systems — and applying them to increasingly sophisticated robotic configurations. Lin's most impactful contribution, "Backstepping Control Design of a Single-Link Flexible Robotic Manipulator" (2008), has accumulated 26 citations and reflects a core theme in his research: addressing the real-world complexities that standard control approaches often overlook. A notable early achievement was tackling the practical challenge of velocity measurement in robot control. His 2004 paper on nonlinear backstepping with velocity observers — earning 14 citations — demonstrated that accurate trajectory tracking could be achieved using position measurements alone, eliminating costly sensors. Lin later extended this framework to handle flexible-joint manipulators, motor dynamics via sliding mode control, and even intelligent vehicle systems integrating computer vision and robotic arms. His body of work reflects a consistent drive to bridge theoretical nonlinear control design with practical engineering implementation, offering students and researchers robust tools for next-generation robotics applications.