Xianliang Jiang

National University of Defense Technology

Papers

Total Citations

H-Index

About

Xianliang Jiang is a control systems researcher whose work centers on the theory and application of repetitive control, particularly within robotic and feedback systems. His most-cited paper, "Analysis and design of the plug-in type repetitive control system based on steady-state residual convergence ratio" (2019), introduces a novel framework for enhancing the performance of periodic signal tracking and disturbance rejection. By focusing on the steady-state residual convergence ratio, Jiang provides a rigorous method to design plug-in type repetitive controllers, which significantly broadens their applicability in real-world robotic systems. This contribution addresses a critical challenge in control engineering: achieving high precision in tasks requiring repetitive motion, such as industrial automation and robotic manipulation. While his citation count remains modest at 3 for this key work, the impact lies in the theoretical depth and practical utility of his design approach, which offers engineers a clear, quantifiable metric for controller optimization. Jiang’s research is particularly valuable for students and practitioners seeking to understand how to integrate repetitive control into feedback loops for improved stability and accuracy, marking him as a thoughtful contributor to the field of advanced control theory.