Xueqi Wu

Papers

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About

Dr. Xueqi Wu is a rising scholar in the field of nonlinear control systems, with a primary focus on adaptive control, event-triggered mechanisms, and robotic system stabilization. Her work addresses critical challenges in the control of complex, underactuated systems, particularly flexible-joint robots and strict-feedback nonlinear systems. Dr. Wu’s most cited paper, "Adaptive Prescribed Performance Fuzzy Control for n-Link Flexible-Joint Robots Under Event-Triggered Mechanism" (2022, 7 citations), introduces a novel framework that combines fuzzy logic with prescribed performance constraints to ensure both transient and steady-state accuracy while reducing communication load through event-triggered control. Her subsequent work, "Adaptive stabilisation of second-order strict-feedback systems based on FAS with tuning functions" (2024, 3 citations), offers a rigorous solution to adaptive stabilization by integrating the fully actuated system (FAS) approach with tuning functions, providing a systematic method for handling parametric uncertainties. Though early in her career, Dr. Wu’s contributions are already recognized for their theoretical depth and practical relevance, bridging gaps between adaptive control theory and real-world robotic applications. Her research continues to inspire advancements in intelligent control and automation.