Lingyu Meng

Jilin University, State Key Laboratory of Automotive Simulation and Control

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About

Lingyu Meng is a robotics researcher whose work centers on the control of autonomous systems, with a particular focus on model predictive control (MPC) for mobile robots and robotic manipulators. Meng’s most influential contribution is the development of a disturbance observer-based MPC for wheeled mobile robots, which addresses the critical challenge of path following under input disturbances. This work, published in 2018 and accumulating 31 citations, demonstrates how nonlinear disturbance observers can estimate and compensate for external perturbations, significantly enhancing trajectory tracking accuracy. Building on this foundation, Meng extended the approach to robotic manipulators in a 2020 study, proposing a nonlinear MPC scheme that simultaneously handles path following and terminal force control—a dual objective rarely addressed in prior work. By introducing virtual force dynamics into the control loop, this research enables precise geometric path tracking alongside force regulation, with applications in assembly and contact-rich tasks. Though early in career, Meng’s contributions are notable for bridging theoretical control design with practical robotic applications, offering robust solutions for systems operating in uncertain environments.