Papers
15
Total Citations
296
H-Index
9
About
Huayang Sai is a leading researcher in advanced control theory for robotic manipulators, with a focus on fixed-time, predefined-time, and sliding mode control strategies. His work addresses critical challenges in robotic systems, including model uncertainty, actuator saturation, and the need for high-precision trajectory tracking. With over 270 citations across his most-cited papers, Sai's contributions are widely recognized. His 2021 paper on adaptive nonsingular fixed-time sliding mode control has garnered 113 citations, establishing a foundation for robust control under actuator constraints. He has also pioneered approximate continuous fixed-time terminal sliding mode control with prescribed performance (51 citations) and adaptive practical predefined-time neural tracking control (20 citations). Notably, Sai's research extends to space applications, as seen in his work on modular robotic manipulators for on-orbit assembly of space telescopes (13 citations). His innovative use of neural networks and particle swarm optimization further demonstrates his commitment to integrating intelligent systems with control theory. Sai's work is essential reading for researchers and students seeking to advance the reliability and performance of robotic systems in uncertain and demanding environments.
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