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About

Zhongxian Xu is a rising researcher in robotics and control systems, whose work centers on the stability and intelligence of autonomous mobile robots. His primary research areas include self-balancing robot design, model predictive control (MPC), and resilient control under cyber threats. Xu’s major contributions lie in advancing the practicality and robustness of non-holonomic and two-wheeled robots. He led the design and implementation of a novel two-wheeled composite self-balancing robot for stationary operations in unknown terrain, a project that has already garnered 5 citations since its 2025 publication, highlighting its immediate relevance. To address computational challenges in real-time control, Xu developed a quasi-differential type event-driven MPC method for non-holonomic robots with disturbances, and a learning-based MPC method using a basic-residual cooperative model—both published in 2024-2025. His work on data-driven multi-model predictive control for nonlinear systems under cyber attacks further demonstrates his focus on security and resilience. With a growing citation record and a clear trajectory toward practical, intelligent robotics, Xu is establishing himself as an innovator in the next generation of autonomous systems.