Weili Xiong
Papers
1
Total Citations
11
H-Index
1
About
Weili Xiong is a researcher specializing in nonlinear system identification and time-delay systems, with a focus on advancing robust modeling techniques for complex dynamic processes. Their most-cited work, "Robust identification of nonlinear time-delay system in state-space form" (2019, 11 citations), introduces a novel framework for accurately estimating system parameters in the presence of delays and uncertainties—a critical challenge in fields like chemical engineering, robotics, and control systems. By integrating state-space representations with robust optimization, Xiong’s approach enhances the reliability of models for real-world applications where data is noisy or incomplete. This contribution has been recognized for its practical utility in designing more resilient control strategies. Beyond this flagship study, Xiong’s broader research portfolio explores the intersection of nonlinear dynamics, time-delay analysis, and system identification, offering tools that bridge theoretical rigor and industrial relevance. Their work is particularly valuable for students and researchers tackling modeling problems in process control, signal processing, and automation, where accurate delay estimation can significantly improve system performance and safety.
Research Focus
Key Achievements
Top Papers
- 1Robust identification of nonlinear time-delay system in state-space form11 citations · 2019