Qingyun Yang | Zaozhuang University | China
Assoc. Prof. Dr. Qingyun Yang is a distinguished academic and researcher at the College of Mechanical and Electrical Engineering, Zaozhuang University, China, where he has served as Lecturer and Associate Professor since 2016. He earned his B.S. degree in Electrical Engineering and Automation from Nanjing Normal University in 2008, followed by an M.S. degree in Pattern Recognition and Intelligent Systems in 2011 and a Ph.D. in Control Theory and Control Engineering in 2016, both from the Nanjing University of Aeronautics and Astronautics. His professional experience is marked by a steady trajectory of excellence in teaching, research, and project leadership, especially in the fields of nonlinear systems and control, constrained control, and advanced flight control systems for near-space vehicles and UAVs. Dr. Yang’s primary research interests include robust adaptive control, prescribed performance tracking, reinforcement learning-based control strategies, fault-tolerant systems, and aerospace engineering applications. He has developed strong research skills in nonlinear dynamics modeling, control algorithm design, simulation, and experimental validation, complemented by expertise in advanced optimization, adaptive neural networks, and machine intelligence approaches. Over the years, he has authored and co-authored multiple peer-reviewed publications in high-quality SCI and EI journals such as Neurocomputing, Journal of Applied Mathematics, Control Theory and Applications, and Machines, alongside IEEE conference proceedings, demonstrating both breadth and depth in control engineering research. His notable book Robust Constrained Flight Control for Near Space Vehicles (National Defense Industry Press, 2017) further highlights his contribution to the field. Professionally, he has led several significant research projects, including funding from the National Natural Science Foundation of China (Youth Fund) and the Shandong Provincial Natural Science Foundation, as well as a Key R&D Program of Shandong Province (2025–2028) with a major focus on industrial machine tool innovation. His recognition includes multiple project leadership roles and scholarly contributions that advance both theory and practice in engineering systems control. According to Scopus, Dr. Yang has received 142 citations, 15 documents, and an h-index of 5, reflecting his growing impact in the international research community. In conclusion, Assoc. Prof. Dr. Qingyun Yang is an accomplished researcher and academic whose sustained contributions to control theory, aerospace systems, and intelligent engineering mark him as an emerging leader in his field. With his strong foundation in robust adaptive methods, active involvement in funded projects, and expanding global visibility, he is well-positioned to make transformative contributions to control engineering and interdisciplinary automation research in the future.
Profile: Scopus
Featured Publications
Cai, L., Yang, Q., & Chen, M. (2016). Robust tracking control of near space vehicles with input and output saturation. Revista de la Facultad de Ingeniería, 31(3), 282–299.
Yang, Q., & Chen, M. (2013). Composite nonlinear control for near space vehicles with input saturation based on disturbance observer. In Proceedings of the 32nd Chinese Control Conference (pp. 2763–2768). IEEE.
Yang, Q., & Chen, M. (2014). Anti-windup control for near space vehicles subject to input saturation. In Proceedings of the 33rd Chinese Control Conference (pp. 3760–3765). IEEE.
Shao, S., Chen, M., & Yang, Q. (2016). Sliding mode control for a class of fractional-order nonlinear systems based on disturbance observer. In Proceedings of the 2016 IEEE International Conference on Industrial Technology (pp. 1790–1795). IEEE.
Min, H., & Yang, Q. (2018). Study on modeling and simulation of production logistics system based on Flexsim. Academic Journal of Manufacturing Engineering, 16(2).