Qiongxia Yu

Papers

Total Citations

120

H-Index

About

Dr. Qiongxia Yu is a leading researcher in the fields of nonlinear system control, adaptive iterative learning, and networked control systems. Her work is distinguished by pioneering contributions to model-free adaptive iterative learning control (MFAILC), particularly for systems operating under challenging communication constraints. In her highly cited 2021 paper (120 citations), Dr. Yu tackled the critical problem of event-triggered MFAILC for nonlinear systems over fading channels, where she innovatively modeled signal fading as an independent Gaussian distribution. This breakthrough provides a robust framework for maintaining control performance and data efficiency in real-world environments with unreliable communication, such as wireless sensor networks and industrial automation. Her research is instrumental in advancing intelligent control theory, bridging the gap between theoretical algorithms and practical implementation in cyber-physical systems. With a growing citation impact, Dr. Yu’s work is essential reading for students and engineers seeking to understand adaptive control in the age of networked and resource-limited systems.