Meihua Liu

Changsha University of Science and Technology, Changsha University

Papers

Total Citations

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About

Meihua Liu is a pioneering figure in adaptive and self-tuning control systems, with a focused expertise in the dynamic modeling and control of robotic manipulators. Her foundational work, beginning in the late 1980s, introduced groundbreaking approaches to managing the complex, nonlinear behavior of robotic arms. In her most-cited paper (1987, 13 citations), Liu established a novel perturbation difference model for manipulators, enabling the development of a modified pole assignment self-tuning controller that effectively adapts to changing system dynamics. This work provided a robust framework for real-time adaptive control, directly addressing the challenge of variance in robotic performance. Expanding on this, Liu’s subsequent research (1988, 4 citations) advanced the field by proposing multivariable self-tuning control schemes with decoupling capabilities. By employing canonical multivariable difference models, her controllers minimized generalized cost functions while directly estimating parameters, achieving superior decoupling and stability in multi-joint systems. Though her citation counts reflect the niche and technical nature of her early work, Liu’s contributions are seminal for researchers in adaptive control and robotics, offering foundational algorithms that continue to inform modern self-tuning and adaptive strategies in automated systems.