Awais Khan

Beijing Institute of Technology, Zhuhai, China

Abstract Title:Interval Observer-Based Fault Detection in Aerospace Systems

Biography:

Dr. Awais Khan is an Assistant Professor at the Beijing Institute of Technology, Zhuhai, specializing in control science and engineering, interval observer design, and fault detection isolation in uncertain dynamic systems. He holds a PhD in Control Science and Engineering from South China University of Technology and has published 23+ high-impact SCI papers. His research focuses on observer-based control strategies, real-time state estimation, and adaptive control techniques. Dr. Khan has actively contributed to NSFC-funded projects and collaborates on developing advanced aerospace control methodologies.

Research Interest:

Aerospace systems require advanced control techniques to ensure reliable performance, fault tolerance, and precision in dynamic environments. This research presents a novel interval observer-based control strategy designed for fault detection, state estimation, and adaptive control in aerospace applications. Interval observers provide real-time monitoring with guaranteed error bounds, enhancing resilience against disturbances, sensor uncertainties, and system uncertainties. By integrating adaptive control techniques, the proposed framework improves system stability, response time, and robustness under varying operational conditions. Compared to traditional observer-based methods, this approach offers faster fault isolation, enhanced estimation accuracy, and computational efficiency, making it suitable for flight dynamics, navigation, and autonomous aerial systems. Simulation and experimental validations demonstrate the method’s effectiveness in reducing error margins, increasing fault detection sensitivity, and ensuring reliable system performance. These findings contribute to next-generation aerospace control frameworks, aligning with the industry’s demand for intelligent and autonomous aerospace technologies.