Title: Dynamic Optimization and Computational Optimal Control
Professor Ryan Loxton, BSc (Hons), PhD, FAustMS, FORS || School of Electrical Engineering, Computing, and Mathematical Sciences || Curtin University, Australia
Time and classroom information: Institute of CSC Room 304, 18:30 – 21:00 // 智能系统与控制研究所304教室
This short course will introduce students to the computational tools needed to solve dynamic optimization and optimal control problems. Two core themes will be discussed: variational methods for gradient computation and switching time optimization techniques for handling switching dynamics. These concepts can be combined to solve a wide variety of constrained optimal control problems with non-standard features such as time-delays, mode switches, and state impulses.
The course schedule is as follows. (浙大玉泉校区智能系统与控制研究所304教室，时间为18:30 - 21:00)
- 19 April, 2 hours (night): Optimal parameter selection problems
- 22 April, 2 hours (night): Switching time optimization
- 23 April, 2 hours (night): Optimal control problems (时间可能需要调整，稍后通知)
Ryan Loxton is a professor in the School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University. His work focuses on using advanced mathematics to optimise complex processes in a wide range of applications such as mining, oil and gas, agriculture, and industrial process control. Ryan is a passionate advocate for industry engagement and has worked with many companies including Woodside Energy, Linkforce, and Vekta Automation. He has received several prestigious awards for his work, including the 2019 JH Michell Medal from the Australian Mathematical Society and the 2014 West Australian Young Scientist of the Year Award. Ryan leads the optimisation theme in the new Australian Centre for Transforming Maintenance through Data Science, which is co-funded by the Australian Research Council and industry partners Alcoa, BHP Billiton, and Roy Hill. He has published over 60 journal articles, including papers in Automatica, IEEE Transactions on Automatic Control, and SIAM Journal on Control and Optimization.