Qingxian Wu

Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Qingxian Wu is a researcher whose work centers on nonlinear control systems, with a particular focus on wheeled mobile robots (WMRs) and the challenges of actuator constraints. Their key contributions lie in developing advanced control strategies that address real-world limitations, such as input saturation, which can degrade system performance and stability. In their notable 2014 paper, "Nonlinear model predictive control for WMR with input constraint," Wu tackled the tracking control problem for WMRs under actuator saturation by integrating model predictive control (MPC) with feedback linearization. This approach allowed for optimal control actions while respecting input limits, enhancing the robot's ability to follow desired trajectories reliably. Although the paper has garnered 3 citations, its significance lies in its practical relevance to autonomous navigation and robotics. Wu’s work bridges theoretical control methods with applied robotics, offering solutions that improve the robustness and efficiency of mobile systems. Their research is valuable for students and engineers exploring nonlinear control, predictive algorithms, and the intersection of theory and real-world implementation in autonomous vehicles and robotic platforms.