Specia Session 1
✦ Nonlinear Dynamical Systems and Control in Intelligent Optimization and Applications ✦
Professor · Chongqing Sanxia University of Science and Technology
Yuming Feng received the B.S. degree and M.S. degree in Mathematics from Yunnan University, Kunming, China, in 2003 and in 2006, respectively. From Sep. 2007 to Jan. 2008, he studied in Southeast University, Nanjing, China. From Sep. 2010 to Jul. 2011, he served as a Research Scholar in Dalian University of Technology, Dalian, China. From Jan. 2012 to Oct. 2012, he served as a Research Scholar in Udine University, Udine, Italy. From Sep. 2013 to Dec. 2016, he pursued the Ph.D degree in Applied Mathematics in Southwest University, Chongqing, China. From Dec. 2014 to Apr. 2015, he served as a Research Scholar in Texas A & M University at Qatar, Doha, Qatar. From Dec. 2018 to Mar. 2026, he served as a professor at Chongqing Three Gorges University, and since March 2026, he has been a professor at Chongqing Sanxia University of Science and Technology, Chongqing, China. He is the author or co-author of more than 80 papers in refereed international journals. His current research interests include chaos synchronization, control theory, fuzzy control theory, etc. He is a member of the editorial board of Italian Journal of Pure and Applied Mathematics.
Professor · Chongqing Sanxia University of Science and Technology
Zhengwen Tu received the B.S. degree in Mathematics and Applied Mathematics and M.S. degree in Applied Mathematics from China Three Gorges University, Yichang, China, in 2008 and in 2011, respectively. From Sep. 2014 to Jun. 2018, he pursued the Ph.D degree in Mathematics in Southeast University, Nanjing, China. From Jun. 2019 to Sep. 2019, he served as a Research Scholar in Nanyang Technological University, Singapore. From Dec. 2021 to Mar. 2026, he served as a professor at Chongqing Three Gorges University, and since March 2026, he has been a professor at Chongqing Sanxia University of Science and Technology, Chongqing, China. He is the author or co-author of more than 50 papers in refereed international journals. His current research interests include neuro-dynamics, control theory, etc.
Nonlinear Dynamical Systems and Control in Intelligent Optimization and Applications
面向智能优化与应用的非线性动力系统及控制
The natural and engineering worlds are inherently nonlinear — from chaotic weather systems and high-speed robotic maneuvers to intricate biological networks. As modern intelligent systems become increasingly autonomous and complex, conventional linear methods often fail to capture the underlying dynamics, leading to suboptimal performance or even instability. This session focuses on the synergy between nonlinear dynamical systems theory, advanced control methodologies, and intelligent optimization algorithms. It brings together recent theoretical advances — data-driven predictive control, learning‑based adaptive frameworks, and model‑free optimization — alongside practical applications in robotics, energy systems, autonomous vehicles, and smart manufacturing. By fostering cross‑disciplinary dialogue, the session aims to bridge the gap between rigorous nonlinear analysis and real‑time intelligent decision-making.
✦ Topics of interest (include but not limited to)
- Data‑driven and learning‑based control for nonlinear systems
- Reinforcement learning and adaptive dynamic programming for optimal control
- Intelligent optimization algorithms (evolutionary computation, swarm intelligence) for nonlinear system tuning
- Model predictive control and extremum‑seeking control for complex dynamics
- Nonlinear observer design, fault diagnosis, and resilient control
- Applications in smart grids, autonomous robotics, industrial processes, and biomedical systems
