Author
Contributions by role
Author 1
Qiang Chen
Zhejiang University of Technology, China
Summary
Qiang Chen received the B.S. degree in measurement and control technology and instrumentation from Hebei Agricultural University, Baoding, China, in 2006, and the Ph.D. degree in control science and engineering from the Beijing Institute of Technology, Beijing, China, in 2012.,Since 2012, he has been with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, where he is currently a Professor. He has published over 100 peer-reviewed papers in journals and conference proceedings. He has been authorized more than 40 invention patents, ten of which were transferred. His research interests include adaptive control and iterative learning control with application to motion control systems.
Edited Journals
IECE Contributions

Free Access | Research Article | 18 December 2024
Adaptive Tunable Predefined-Time Backstepping Control for Uncertain Robotic Manipulators
IECE Transactions on Sensing, Communication, and Control | Volume 1, Issue 2: 126-135, 2024 | DOI:10.62762/TSCC.2024.672831
Abstract
In engineering applications, high-precision tracking control is crucial for robotic manipulators to successfully complete complex operational tasks. To achieve this goal, this study proposes an adaptive tunable predefined-time backstepping control strategy for uncertain robotic manipulators with external disturbances and model uncertainties. By establishing a novel practical predefined-time stability criterion, a tunable predefined-time backstepping controller is systematically presented, allowing the upper bound of tracking error settling time to be precisely determined by adjusting only one control parameter. To accurately address lumped uncertainty, two updating laws are designed: a fuzz... More >

Graphical Abstract
Adaptive Tunable Predefined-Time Backstepping Control for Uncertain Robotic Manipulators