Dandan Liu

Xihua University, Sichuan Tourism University

Papers

Total Citations

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About

Dandan Liu is a control systems researcher whose work focuses on the robust control of nonlinear robotic systems, particularly in the presence of complex disturbances. Her key research areas include disturbance estimation and attenuation, sliding mode control, and adaptive control for multi-input-multi-output (MIMO) robotic platforms. Liu's major contributions lie in developing composite control strategies that integrate backstepping and adaptive disturbance observers to handle both matched and mismatched disturbances—a critical challenge for real-world robotic precision. Her 2019 paper on composite control for nonlinear robotic systems with exogenous disturbances has garnered 8 citations, establishing a foundation for disturbance rejection in coupled robotic dynamics. In her 2020 work, she advanced this by designing an adaptive disturbance observer-based exponential sliding mode controller specifically for position tracking under matched and mismatched disturbances, earning 3 citations. Liu's research is notable for its systematic approach to decoupling and compensating for multiple disturbance types simultaneously, offering practical solutions for high-precision robotic applications where external forces and model uncertainties degrade performance. Her work continues to influence the development of more resilient and accurate robotic control systems.