Papers
41
Total Citations
1,030
H-Index
14
About
Huaicheng Yan is a distinguished researcher whose work spans robotics control systems, multi-agent systems, and intelligent control theory. His research has made substantial contributions to sliding-mode control, fault-tolerant systems, and distributed cooperative control for complex robotic platforms. Yan's most impactful contributions lie in advanced control methodologies for robotic systems. His 2022 paper on robust adaptive fixed-time sliding-mode control for robotic systems with input saturation has garnered 207 citations, establishing him as a leading voice in fixed-time convergence control under real-world uncertainty constraints. His complementary 2024 work introducing disturbance observer-based fixed-time sliding mode control for robotic manipulators, already accumulating 142 citations, further demonstrates his sustained innovation in this domain. His 2019 study on reliable intelligent path following for robotic airships against sensor faults (131 citations) highlights his expertise in fault-tolerant control design. Beyond individual robot systems, Yan has shaped the field of multi-robot coordination, proposing distributed model predictive approaches for mobile robot formation control (106 citations) and game-theoretic task allocation frameworks. His more recent explorations into reinforcement learning for Markov jump systems and fuzzy resilient control under cyberattacks reflect his forward-looking integration of data-driven and intelligent control paradigms, making his body of work essential reading for researchers in modern control engineering.
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