| Time | Presenter | Group | Subject (Brief) |
| 9:00 | Xinxin Shang | UVic | Data-driven model predictive control based on
dynamic model decomposition: A case study |
| 9:15 | Yun Li | UBC (3) | Deep learning based model predictive control
with performance guarantees |
| 9:30 | Sara Hosseinirad | UBC (4) | Learning in LQ games |
| 9:45 | Kaixun Hua | UBC (3) | A scalable deterministic global optimization
algorithm for clustering problems |
| 10:00 – 10:10 | Coffee break | ||
| 10:10 | Brendan Saunders | UBC (1) | Fatigue mitigation for position controlled
floating offshore wind turbines |
| 10:25 | Wes Romey | SFU | Fuel cell diagnosis using Kalman
filter and machine learning |
| 10:40 | Chenglong Du | UVic | Multi-phase-based optimal slip ratio
tracking control of aircraft ABS |
| 10:55 | Jingnan Cai | UBC (1) | Design and control of a linear waling piezoelectric stage |
| 11:10 – 11:20 | Coffee break | ||
| 11:20 | Alireza Beigi | SFU | A note on nonlinear observer
and robust control analogy |
| 11:35 | Binyan Xu | UVic | Hierarchical fault-tolerant model predictive
control design of a quadrotor |
| 11:50 | Lee Rippon | UBC (2) | Residual monitoring to detect
ring formation in rotary lime kilns |
| 12:05 | Yue Niu | UBC (1) | Nonlinear model predictive control for
the suppression of the COVID-19 pandemic based on an agent-based model |