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About

Lixia Yan is a control systems researcher whose work centers on the motion control of nonholonomic wheeled mobile robots, with particular expertise in trajectory tracking, formation control, and observer-based feedback design. Her research addresses fundamental challenges in autonomous robot navigation, including the control of systems with uncertain dynamics, unmeasured states, and non-feasible reference trajectories — problems that are central to real-world robotic deployment. Among her most influential contributions is her development of adaptive leader-following formation control strategies for multiple nonholonomic robots, which gracefully handle uncertain dynamics and arbitrary smooth leader trajectories — earning 31 citations since 2020. Her complementary work on distributed formation tracking for unicycle robots further extended these ideas to multi-agent settings. A recurring theme in her research is the elimination of reliance on orientation or attitude measurements: her observer-based and output feedback controllers demonstrate that high-performance tracking can be achieved using only position and velocity data, with her 2024 observer-based work already accumulating 22 citations. Collectively, Yan's publications reflect a rigorous and practically motivated research program that bridges nonlinear control theory and mobile robotics, making her work valuable reading for researchers tackling real-world autonomous navigation challenges.