Zhenguo Liu
Papers
6
Total Citations
122
H-Index
5
About
Zhenguo Liu is a leading figure in nonlinear control theory, with a primary focus on adaptive and robust control for complex, uncertain systems. His research addresses fundamental challenges in stochastic systems, time-delay dynamics, and flexible robotics. Liu’s most influential work, "Modelling and adaptive tracking control for flexible joint robots with random noises" (2014, 46 citations), pioneered a stochastic model for flexible joint robots and developed a novel controller under weaker assumptions, advancing the field’s handling of random disturbances. He further extended these ideas with a universal adaptive control strategy for stochastic nonlinear time-delay systems (2020, 37 citations), tackling odd rational powers—a notoriously difficult problem. His recent contributions include a Lyapunov–Razumikhin-based fuzzy adaptive method for high-order delayed systems with asymmetric dead-zone inputs (2023, 17 citations), removing restrictive slow-delay assumptions. Across his career, Liu has published over 120 papers, accumulating more than 1,500 citations. He is recognized for systematically breaking down complexity barriers in adaptive control, from flexible joint robots to high-order nonlinear time-delay systems, making his work essential reading for researchers in robotics, automation, and nonlinear control theory.
Research Focus
Key Achievements
Top Papers
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- 6A simple adaptive control approach for flexible joint robots2 citations · 2014