Jiali Yu

University of Electronic Science and Technology of China, Institute for Infocomm Research

Papers

Total Citations

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About

Dr. Jiali Yu is a pioneering researcher in nonlinear control systems and cognitive robotics, with a focus on adaptive control strategies for constrained dynamical systems and bio-inspired spatial navigation. Her most impactful work, "BLF-based asymptotic tracking control for a class of time-varying full state constrained nonlinear systems" (2019, 27 citations), introduces a novel tan-type barrier Lyapunov function that achieves asymptotic output tracking for strict-feedback systems under time-varying state constraints. This contribution is significant because it provides a constructive, continuous control law that ensures system stability without violating physical limitations—a critical advancement for applications in robotics, autonomous vehicles, and industrial automation. Additionally, Yu’s earlier work, "A Neuro-cognitive Robot for Spatial Navigation" (2011, 3 citations), explores the intersection of neuroscience and robotics, modeling hippocampal place cells to enable goal-directed navigation. While less cited, this interdisciplinary effort demonstrates her versatility in bridging control theory with cognitive architectures. Her research is particularly valuable for students and engineers tackling real-world systems where safety constraints and adaptive performance are paramount.