Papers
2
Total Citations
37
H-Index
2
About
Juan Xian is a leading researcher in advanced nonlinear control theory, with a primary focus on robust and finite-time control for robotic and nonlinear systems. Their work addresses critical challenges in high-precision trajectory tracking and disturbance rejection, particularly for robotic manipulators operating under uncertain and unpredictable conditions. In a landmark 2022 study (19 citations), Xian developed a continuous sliding mode control (CSMC) scheme that eliminates the chattering problem inherent in traditional sliding mode control, using time-varying disturbance estimation and compensation to achieve superior tracking accuracy. Earlier, in a 2020 paper (18 citations), Xian introduced a robust finite-time output feedback control method for nonlinear systems plagued by unpredictable time-varying disturbances, leveraging a finite-time state observer for effective lumped disturbance estimation. These contributions have been widely cited for their practical significance in robotics and automation, offering theoretically rigorous yet implementable solutions. Xian’s work stands out for bridging the gap between advanced control theory and real-world application, making them a key figure in the development of next-generation, disturbance-resilient control systems.
Research Focus
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Top Papers
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