Papers
7
Total Citations
49
H-Index
3
About
Chengdong Li is a robotics and control systems researcher whose work spans multi-robot coordination, adaptive control theory, and structural analysis of industrial robotic systems. His most significant contributions lie in the domain of formation control for multi-robot systems, where he pioneered innovative hybrid control architectures combining sliding mode control (SMC) with nonlinear disturbance observer (NDOB) techniques to address real-world uncertainties in leader-follower robot formations. His 2016 paper on this approach has garnered 24 citations, establishing it as a foundational reference in the field, while complementary work integrating integral sliding mode control and fuzzy compensation strategies further broadened the applicability of these methods. Beyond multi-robot systems, Li has made noteworthy advances in adaptive control for nonlinear stochastic systems, tackling the challenging problem of uncertain virtual control gains and input nonlinearities, accumulating 9 citations since 2023. His earlier work on cable-driven parallel robots with fuzzy logic-based control demonstrates a versatile research background that extends into precision mechanical systems. More recently, he has contributed finite element simulation studies for industrial robots, supporting structural optimization in modern manufacturing. Across his career, Li's research consistently bridges theoretical control design with practical robotic engineering applications.
Research Focus
Key Achievements
Top Papers
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- 5Finite element simulation analysis of six axis industrial robot2 citations · 2022
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- 7Static and modal analysis of industrial robots2 citations · 2022