Intelligent Control Systems Series Webinars: Nonlinear Intelligent Control for Robotics and Autonomous Systems
Contents
Chair
Prof. Jinde Cao (Fellow, IEEE)
School of Mathematics, Southeast University, Nanjing, China.
- Endowed Chair Professor, Southeast University, China
- Dean, Department of Science, Southeast University, China
- Director, Research Center for Complex Systems and Network Sciences, Southeast University, China
- Director, National Center for Applied Mathematics at SEU–Jiangsu, China
- Director, Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, China
- Honorable Professor, Institute of Mathematics and Mathematical Modeling, Almaty, Kazakhstan
- Member, Russian Academy of Sciences
- Member, Academia Europaea (Academy of Europe)
- Member, European Academy of Sciences and Arts
- Member, Lithuanian Academy of Sciences
- Fellow, African Academy of Sciences
- Fellow, Pakistan Academy of Sciences
Biography:
Prof. Jinde Cao is an internationally renowned scholar in the fields of nonlinear systems, complex networks, and networked collective intelligence. His research focuses on nonlinear dynamical systems, neural networks, multi-agent systems, complex networks, and their applications in control theory and applied mathematics. He has made outstanding contributions to the theory and applications of complex systems and network science, with a strong emphasis on stability analysis, synchronization, and cooperative control of large-scale dynamical systems.Prof. Cao has received numerous prestigious honors, including the National Innovation Award of China, the IETI Annual Scientific Award, the Obada Prize, and recognition as a Highly Cited Researcher in Engineering, Computer Science, and Mathematics by Clarivate Analytics. He has published extensively in leading international journals and is widely recognized for his academic leadership and contributions to global mathematical sciences and systems engineering.
Prof. Jinde Cao is an internationally renowned scholar in the fields of nonlinear systems, complex networks, and networked collective intelligence. His research focuses on nonlinear dynamical systems, neural networks, multi-agent systems, complex networks, and their applications in control theory and applied mathematics. He has made outstanding contributions to the theory and applications of complex systems and network science, with a strong emphasis on stability analysis, synchronization, and cooperative control of large-scale dynamical systems.Prof. Cao has received numerous prestigious honors, including the National Innovation Award of China, the IETI Annual Scientific Award, the Obada Prize, and recognition as a Highly Cited Researcher in Engineering, Computer Science, and Mathematics by Clarivate Analytics. He has published extensively in leading international journals and is widely recognized for his academic leadership and contributions to global mathematical sciences and systems engineering.
Speaker(s)
Prof. Zhengtao Ding
School of Electrical and Electronic Engineering, University of Manchester, Manchester, United Kingdom.
- Professor of Control Systems, The University of Manchester, United Kingdom
- Head, Control, Robotics and Communication Division, The University of Manchester, United Kingdom
- Member, IEEE Technical Committee on Nonlinear Systems and Control
- Member, IEEE Technical Committee on Intelligent Control
- Member, IFAC Technical Committee on Adaptive and Learning Systems
- Fellow, The Alan Turing Institute, United Kingdom
Biography:
Prof. Zhengtao Ding is an internationally recognized expert in nonlinear and adaptive control systems. His research focuses on nonlinear control theory, adaptive control, network-based control, distributed optimization, and distributed learning, with applications in power systems, robotics, and autonomous systems. He received his B.Eng. degree from Tsinghua University, China, and his M.Sc. and Ph.D. degrees in control systems from the University of Manchester Institute of Science and Technology (UMIST), United Kingdom. After spending ten years in Singapore, he joined The University of Manchester in 2003, where he currently serves as Professor of Control Systems and Head of the Control, Robotics and Communication Division. Prof. Ding has authored or co-authored more than 300 research publications and three academic books, including the widely recognized monograph Nonlinear and Adaptive Control Systems (IET, 2013). He has made significant contributions to the development of nonlinear and adaptive control theory and is widely recognized for his leadership in advancing intelligent, networked, and autonomous control systems.
Prof. Zhengtao Ding is an internationally recognized expert in nonlinear and adaptive control systems. His research focuses on nonlinear control theory, adaptive control, network-based control, distributed optimization, and distributed learning, with applications in power systems, robotics, and autonomous systems. He received his B.Eng. degree from Tsinghua University, China, and his M.Sc. and Ph.D. degrees in control systems from the University of Manchester Institute of Science and Technology (UMIST), United Kingdom. After spending ten years in Singapore, he joined The University of Manchester in 2003, where he currently serves as Professor of Control Systems and Head of the Control, Robotics and Communication Division. Prof. Ding has authored or co-authored more than 300 research publications and three academic books, including the widely recognized monograph Nonlinear and Adaptive Control Systems (IET, 2013). He has made significant contributions to the development of nonlinear and adaptive control theory and is widely recognized for his leadership in advancing intelligent, networked, and autonomous control systems.
Dr. Gerasimos Rigatos
Unit of Industrial Automation, Industrial Systems Institute, Rio, Patras, Western Greece, Greece.
- Research Director, Unit of Industrial Automation, Industrial Systems Institute (ISI), Greece
Biography:
Dr. Gerasimos Rigatos is a Research Director at the Unit of Industrial Automation, Industrial Systems Institute (ISI), Greece. His research interests focus on intelligent systems, robotics, industrial automation, nonlinear control, autonomous systems, estimation and filtering methods, artificial intelligence, and cyber-physical system security. He has made significant contributions to the development of advanced control methodologies, intelligent automation, robotics, and secure networked systems. His work integrates modern control theory, machine learning, and optimization techniques for applications in industrial processes, autonomous vehicles, robotic systems, and critical infrastructures. Dr. Rigatos has authored numerous publications in the fields of automation, intelligent control, robotics, and system security, and is widely recognized for his contributions to industrial intelligence and autonomous system technologies.
Dr. Gerasimos Rigatos is a Research Director at the Unit of Industrial Automation, Industrial Systems Institute (ISI), Greece. His research interests focus on intelligent systems, robotics, industrial automation, nonlinear control, autonomous systems, estimation and filtering methods, artificial intelligence, and cyber-physical system security. He has made significant contributions to the development of advanced control methodologies, intelligent automation, robotics, and secure networked systems. His work integrates modern control theory, machine learning, and optimization techniques for applications in industrial processes, autonomous vehicles, robotic systems, and critical infrastructures. Dr. Rigatos has authored numerous publications in the fields of automation, intelligent control, robotics, and system security, and is widely recognized for his contributions to industrial intelligence and autonomous system technologies.
Programme
Programme
| Time (CET, UTC+1) | Chair/Speakers | Topic |
|---|---|---|
| 15:00-15:10 | Prof. Jinde Cao | Introduction of Intelligent Control Systems Welcome speech |
| 15:10-15:30 | Prof. Zhengtao Ding | Comming soon |
| 15:30-15:50 | Dr. Gerasimos Rigatos | Comming soon |
| 15:50-16:10 | All | Q&A |
| 16:10-16:20 | Prof. Jinde Cao | Closing remarks |
