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About

Nguyen Hong Quang is a prominent researcher specializing in robotics and control systems, with a particular focus on wheeled mobile robots (WMRs), nonlinear control theory, and intelligent control strategies. His work sits at the intersection of advanced control methodologies and practical robotic applications, addressing some of the most challenging problems in autonomous and constrained robotic systems. Quang's most celebrated contribution is his 2019 paper on adaptive backstepping trajectory tracking control for tractor-trailer wheeled mobile robots, which has garnered over 110 citations and established him as a leading voice in mobile robot control. His subsequent research has pushed the boundaries of robust control, notably through his development of finite horizon nonlinear model predictive control (MPC) frameworks for WMRs operating under input constraints and external disturbances — work that leverages innovative decoupling techniques to solve complex underactuated kinematic problems. Beyond mobile robotics, Quang has made meaningful contributions to optimal control via adaptive dynamic programming for robot manipulators and neural network-based control for parallel spatial robots. His cascade motion/force control strategies further demonstrate his versatility across robotic architectures. With a growing body of work and steadily accumulating citations, Nguyen Hong Quang represents an increasingly influential figure in modern robotics and control engineering research.