Yusheng Liu
Papers
1
Total Citations
11
H-Index
1
About
Yusheng Liu is a control systems researcher whose work focuses on advancing state estimation techniques for complex nonlinear systems. His most influential contribution, "Adaptive state estimation of multi‑input and multi‑output non‑linear systems with general uncertainties both in the state and output equations" (2016, 11 citations), tackles a fundamental challenge in control theory: how to accurately estimate system states when both the dynamics and measurements are corrupted by broad, unstructured uncertainties. Liu’s approach accommodates unmodelled dynamics, time‑varying parameters, and uncertain nonlinearities—conditions that often render conventional estimators unreliable. By developing an adaptive estimator that remains robust under such general uncertainties, his work provides a practical tool for engineers working with multi‑input, multi‑output systems in fields like robotics, aerospace, and process control. While his citation count reflects a focused, early‑career impact, the theoretical depth and generality of his proposed method have made it a reference point for researchers tackling estimation in uncertain environments. Liu’s contributions help bridge the gap between idealised models and real‑world system behaviour, offering a pathway to more reliable control in the presence of pervasive uncertainty.
Research Focus
Key Achievements
Top Papers
- 1