Haiying Qi
Papers
1
Total Citations
19
H-Index
1
About
Dr. Haiying Qi is a leading researcher in nonlinear control systems, with a focus on fault-tolerant control, sliding mode techniques, and adaptive neural network estimation. Their most-cited work, "Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator" (2019, 19 citations), introduces a novel control scheme that ensures system stability in the presence of faults—critical for high-stakes applications like robotics and aeronautics. By integrating sliding mode control with a neural network-based online estimator, Dr. Qi’s approach enables real-time adaptation to post-fault dynamics, significantly enhancing reliability and safety. This contribution bridges theoretical control design and practical implementation, offering a robust framework for systems where failure is not an option. Dr. Qi’s research has been instrumental in advancing resilient autonomous systems, with their work cited by peers developing next-generation aerospace and robotic platforms. Their innovative fusion of adaptive estimation and sliding mode theory marks a key achievement in nonlinear fault-tolerant control, making their research essential reading for engineers and scholars tackling complex, safety-critical systems.
Research Focus
Key Achievements
Top Papers
- 1