Huaizhen Wang
Papers
13
Total Citations
131
H-Index
6
About
Huaizhen Wang is a robotics and control systems researcher whose work centers on advanced motion control for robotic manipulators, with particular expertise in sliding mode control, model-free control strategies, and robust trajectory tracking under uncertainty. His research addresses one of the most persistent challenges in robotics: achieving precise, reliable control when accurate system models are unavailable or impractical to obtain. Wang's most influential contribution, "Model-free finite-time terminal sliding mode control with a novel adaptive sliding mode observer" (2021, 61 citations), introduced a time delay estimation-based framework that significantly improved robustness against dynamic uncertainties and impact disturbances. Building on this foundation, he developed adaptive funnel-based control schemes that enforce prescribed transient and steady-state performance boundaries, ensuring that tracking errors remain within user-defined tolerances regardless of system perturbations — a practically valuable guarantee for real-world deployment. More recently, Wang has expanded into the challenging domain of backlash nonlinearity, designing and controlling a novel dual-motor robotic manipulator (D-Arm) that mechanically mitigates gear backlash effects. His observer-based and super-twisting approaches further demonstrate his commitment to finite-time convergence and disturbance rejection. Collectively accumulating over 125 citations, Wang's body of work represents meaningful advances in making robotic manipulators safer, more precise, and more deployable in uncertain environments.
Research Focus
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