Zidong Ai

Qingdao University of Science and Technology

Papers

Total Citations

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About

Zidong Ai is a researcher specializing in nonlinear control theory and mobile robotics, with a particular focus on trajectory tracking for nonholonomic systems. His major contributions lie in advancing sliding mode control techniques to address the challenges of unknown disturbances and finite-time convergence in autonomous navigation. In his most-cited work (2021, 6 citations), Ai designed a robust sliding mode controller integrated with a disturbance observer, enabling precise trajectory tracking for mobile robots under real-world uncertainties. Building on this, his 2022 paper (4 citations) introduced a novel dynamic terminal sliding mode approach that achieves finite-time convergence without singularities, a critical improvement for time-sensitive robotic tasks. Though early in his career, Ai’s work demonstrates a clear progression from robust stabilization to time-optimal control, establishing him as a promising voice in the field of autonomous systems. His research is particularly relevant for students and engineers working on wheeled robots, unmanned ground vehicles, and any application requiring high-precision motion control under uncertain conditions.