A comparison between model-based and data-driven control system design
Event details
| Date | 12.04.2013 |
| Hour | 10:15 › 11:00 |
| Speaker |
Simone Formentin Post-doctoral fellow at Università degli studi di Bergamo |
| Location |
ME C2 405
|
| Category | Conferences - Seminars |
For many industrial applications, finding a model from physical laws that is both simple and reliable for control design is a tough undertaking. When a set of measurements is available, the control law can be computed from data without relying on knowledge of the underlying physics. Specifically, in "model-based" approaches, a model of the system is first derived from data and then a controller is computed based on such a model. In "data-driven" approaches, the controller is directly derived from experimental data. It is common belief that finding a good model of the plant is always the best way towards controller design, therefore model-based approaches usually prevail.
The goal of this talk is to show that data-driven solutions might sometimes be preferable, thus motivating research in these design methods, which are less time-consuming and insensitive to modeling errors. Some recent improvements of the weak points of such techniques are also discussed to lay the foundations for future research.
The goal of this talk is to show that data-driven solutions might sometimes be preferable, thus motivating research in these design methods, which are less time-consuming and insensitive to modeling errors. Some recent improvements of the weak points of such techniques are also discussed to lay the foundations for future research.
Practical information
- General public
- Free
Organizer
- Colin Jones
Contact
- colin.jones@epfl.ch