Mengmeng Liu
Papers
3
Total Citations
28
H-Index
3
About
Mengmeng Liu is an emerging researcher specializing in nonlinear control systems, with a particular focus on nonholonomic systems — a class of dynamically constrained systems with wide-ranging applications in robotics and autonomous vehicles. Liu's work addresses some of the most challenging problems in modern control theory, including state constraints, input saturation, and external disturbances, developing sophisticated solutions that bridge theoretical rigor with practical implementation. Among Liu's most notable contributions is the development of event-triggered control frameworks that reduce computational and communication overhead while maintaining robust performance. A signature methodological tool in Liu's research is the barrier Lyapunov function (BLF), employed creatively to enforce asymmetric state and output constraints in uncertain environments. The 2023 study on finite-time tracking control — combining input saturation handling with experimental validation — demonstrates Liu's commitment to translating theoretical advances into real-world robotic applications, earning 10 citations. Further work integrating fuzzy logic with event-based control for mobile robots highlights Liu's interdisciplinary approach. With nearly 30 citations accumulated across recent publications, Mengmeng Liu represents a promising voice in the control engineering community, making meaningful strides toward safer, more efficient autonomous systems operating under real-world physical limitations.
Research Focus
Key Achievements
Top Papers
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