Assoc. Prof. Dr. Qixun Lan, Zhengzhou University of Light Industry, China
Assoc. Prof. Dr. Qixun Lan is an Associate Professor and Master’s Supervisor at the School of Electrical and Information Engineering, Zhengzhou University of Light Industry. He holds a B.S. in Information and Computing Science from Henan Normal University (2005), an M.S. in Operations Research and Control Theory from Guangxi University (2008), and a Ph.D. in Control Science and Engineering from Southeast University (2016). Dr. Lan has conducted international research as a visiting scholar at the University of Texas at San Antonio (2014–2015) and Loughborough University, UK (2024–2025). His research interests include nonsmooth control of nonlinear systems, disturbance estimation and suppression, advanced control for aircraft systems, and high-performance servo systems. He has led projects funded by the National Natural Science Foundation and various provincial and municipal agencies. With over 40 academic publications, including 30+ SCI/EI-indexed papers, he has received four Henan Provincial Outstanding Scientific and Technological Achievement Awards and actively serves on the Discontinuous Control Technical Committee of the Chinese Association of Automation.
Publication Profile
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🎓 Academic Background & International Exposure
Assoc. Prof. Dr. Qixun Lan has built a strong academic foundation with degrees spanning key areas of engineering and applied mathematics. He earned his B.S. in Information and Computing Science from Henan Normal University in 2005, followed by an M.S. in Operations Research and Control Theory from Guangxi University in 2008. He further advanced his expertise by completing a Ph.D. in Control Science and Engineering at Southeast University in 2016. Dr. Lan’s educational path demonstrates a consistent focus on control systems and computational methods, essential for modern automation and engineering solutions. Enhancing his academic profile, he has gained valuable international research experience, serving as a visiting scholar at the University of Texas at San Antonio (2014–2015) and Loughborough University in the UK (2024–2025). These global collaborations have significantly enriched his perspective, enabling him to engage with diverse research environments and apply advanced methodologies to his ongoing scientific pursuits.
🏆 Achievements & Recognition
Assoc. Prof. Dr. Qixun Lan has earned notable recognition for his contributions to control engineering and automation, most prominently through the receipt of four Henan Provincial Outstanding Scientific and Technological Achievement Awards. These honors underscore the regional and academic impact of his innovative research, reflecting both scholarly excellence and practical application. Beyond accolades, Dr. Lan has demonstrated strong leadership in scientific research by successfully presiding over a key project funded by the National Natural Science Foundation of China, one of the country’s most prestigious funding agencies. Complementing this national-level achievement, he has also spearheaded multiple research projects at the provincial and municipal levels, further contributing to technological advancement and academic development. His ability to attract competitive funding and deliver impactful outcomes highlights his influence and effectiveness as a leading researcher in his field. These accomplishments position him as a respected figure in China’s scientific community and beyond.
Research Focus
Assoc. Prof. Dr. Qixun Lan’s research primarily focuses on control theory, with specific expertise in finite-time control, sliding mode control, observer design, and nonlinear and stochastic systems. His work targets complex dynamical systems, including spacecraft, asteroid landing modules, permanent-magnet motors, and large-scale uncertain systems. Dr. Lan has made significant contributions to nonsmooth and output-feedback control, multi-disturbance rejection, and robust stabilization techniques, especially under conditions of uncertainty, time-delay, and structural complexity. His studies often incorporate advanced mathematical modeling, sampled-data systems, and adaptive mechanisms aimed at high-precision motion control and aerospace applications. With over 40 publications and strong citation metrics in journals like International Journal of Control, IET Control Theory & Applications, and Journal of Dynamic Systems, Measurement, and Control, Dr. Lan’s work plays a critical role in bridging theory with engineering practice. His interdisciplinary approach contributes significantly to modern automation, aerospace control systems, and nonlinear dynamics.
Publication Top Notes
📘 Global finite-time stabilisation for a class of stochastic nonlinear systems by output feedback – 78 citations, 2015
📘 Continuous terminal sliding mode control with extended state observer for PMSM speed regulation system – 70 citations, 2017
📘 Finite-time soft landing on asteroids using nonsingular terminal sliding mode control – 53 citations, 2014
📘 Global output‐feedback stabilization for a class of stochastic nonlinear systems via sampled‐data control – 49 citations, 2017
📘 Finite-time control for soft landing on an asteroid based on line-of-sight angle – 37 citations, 2014
📘 Finite-time disturbance observer design and attitude tracking control of a rigid spacecraft – 29 citations, 2017
📘 Finite‐time tracking control for nonlinear systems with multiple mismatched disturbances – 28 citations, 2020
📘 Finite-time control for 6DOF spacecraft formation flying systems – 24 citations, 2015
📘 Global decentralised stabilisation for uncertain large-scale feedforward nonlinear systems – 20 citations, 2014
📘 Robust reliable guaranteed cost control for uncertain singular systems with time-delay – 17 citations, 2010
📘 Finite‐Time Integral Sliding Mode Control for PM Linear Motors – 13 citations, 2013
📘 Universal finite‐time observer design for hydraulic turbine systems – 12 citations, 2016
📘 Finite-time stabilization of port-controlled Hamiltonian systems with disturbances – 11 citations, 2018
📘 Global stabilization of cascaded systems with upper‐triangular structures – 9 citations, 2018