Yuting Chai

Hong Kong University of Science and Technology

Papers

Total Citations

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About

Yuting Chai’s research centers on nonlinear control theory, with a particular focus on the concept of reachability—a framework that ensures a system can be driven from any initial state to a desired target within finite time. Her major contribution lies in redefining controller design through this lens, offering an alternative to traditional stability-based approaches. In her most-cited work, “Realization of Reachability for the Control of a Class of Nonlinear Systems” (2019, 13 citations), Chai developed a feedback controller that systematically achieves reachability, providing a rigorous foundation for controlling complex nonlinear dynamics. She further applied this concept to robotics in “Controller design for robot manipulators based on reachability” (2016, 4 citations), where she introduced a two-step design process—first addressing kinematics to generate desired trajectories, then dynamics to realize them. This work bridges theoretical control advances with practical robotic applications. Though her citation counts are modest, Chai’s research represents a novel perspective in control engineering, offering a clear, goal-oriented methodology that complements classical stability analysis. Her work is particularly valuable for students and researchers exploring alternative control paradigms for nonlinear and robotic systems.