Total Model-Free Robust Control of Non-Affine Nonlinear Systems with Discontinuous Inputs

Quanmin Zhu is a Professor in control systems at the School of Engineering, University of the West of England, Bristol, UK. He obtained his MSc at the Harbin Institute of Technology, China, in 1983, his PhD at the Faculty of Engineering, University of Warwick, UK, in 1990, and worked as a postdoctoral research associate in the Department of Automatic Control and Systems Engineering, University of Sheffield, UK, from 1989 to 1994. His main research interest is in complex system modelling, identification, and control. He has published over 300 papers on these topics, edited various books with Springer, Elsevier, and the other publishers, and provided consultancy to various industries. Currently, Professor Zhu is acting as Editor of Elsevier's book series 'Emerging Methodologies and Applications in Modelling, Identification and Control'.

Jing Na received his BSc and PhD degrees in automation and control from the School of Automation, Beijing Institute of Technology, Beijing, China, in 2004 and 2010, respectively. From 2011 to 2013, he was a Monaco/ITER Post-doctoral Fellow with ITER Organization, Saint-Paul-lez-Durance, France. From 2015 to 2017, he was a Marie Curie Fellow at the Department of Mechanical Engineering, University of Bristol, Bristol, U.K. Since 2010, he has been with the Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China, where he became a Professor in 2013. He has coauthored one monograph and more than 100 international journal articles and conference papers. His current research interests include intelligent control, adaptive parameter estimation, nonlinear control, and applications for robotics, vehicle systems, and wave energy converters. Dr. Na is currently an Associate Editor of IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS and Neurocomputing, and served as the Program Chair of the 43rd Chinese Control Conference (CCC 2024), General Co-Chair of the 10th Data-Driven Control and Learning Systems Conference (DDCLS 2019), and the Organizing Committee Chair of the 33rd Chinese Control and Decision Conference (CCDC 2021). He has received several prestigious awards, including the Marie Curie Fellow, the Hsue-shen Tsien Paper Award, and the Fok Ying Tung Award.

Prof. Qiang Chen received his BSc degree in measurement and control technology and instrumentation from Hebei Agricultural University, Baoding, China, in 2006, and his PhD degree in control science and engineering from the Beijing Institute of Technology, Beijing, China, in 2012. He is currently an Associate Professor in Data-Driven Intelligent Systems Laboratory, electrical engineering with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. His research interests include neural networks, sliding mode control, and adaptive control.