Xiuyu Zhang
Papers
3
Total Citations
35
H-Index
3
About
Xiuyu Zhang is a rising leader in advanced control theory and its applications to smart material-based motion systems, particularly in soft robotics and precision positioning. His research focuses on data-driven iterative learning control, adaptive neural control, and optimal control for nonlinear systems with hysteresis, time delays, and input constraints. Zhang’s most cited work introduces a sliding-mode iterative learning control with an iteration-dependent parameter learning mechanism, achieving superior convergence for piezoelectric-actuated micro-positioning stages (18 citations). He further developed a neural adaptive fractional-order backstepping indirect inverse control scheme for hysteretic nonlinear time-delay systems, addressing critical challenges in soft robotic actuation (11 citations). His recent contribution on single-network adaptive dynamic programming optimal control for robotic manipulators tackles joint limitations and input saturation, offering a smooth-function-based solution to nonsmooth actuator constraints (6 citations). Collectively, Zhang’s work bridges theoretical rigor with practical implementation, advancing the performance and reliability of motion control systems. His growing citation record reflects the increasing relevance of his methods to both academic research and industrial applications in precision engineering and robotics.
Research Focus
Key Achievements
Top Papers
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