Safe Automation for Intelligence Systems
Event details
| Date | 16.02.2021 |
| Hour | 12:45 › 13:45 |
| Speaker | Prof. Peyman Mohajerin Esfahani, Delft Center for Systems and Control, Delft University of Technology |
| Location | Online |
| Category | Conferences - Seminars |
Abstract: Digitalization offers ample opportunities for improving the monitoring, maintenance, and performance of future industrial systems. Harnessing this potential calls for novel mathematical foundations of automation along with scalable computational tools. The first part of this seminar focuses on the fault estimation problem in automation. We discuss concrete ideas that create synergy between traditional model-based approaches and modern data-driven analytics. The discussion will be motivated by an application of the lateral safety systems of automated vehicles. The second part focuses on the computational aspect of the real-time control synthesis. We propose a numerical scheme for approximate implementation of the dynamic programming (DP) operation. We will discuss how an interesting analogy between the convex conjugate operator and the Fourier transform can reduce the typical time complexity of the DP operation from O(XU) to O(X + U) where X and U denote the size of the discrete state and input spaces, respectively.
Bio: Peyman Mohajerin Esfahani is currently an assistant professor in the Delft Center for Systems and Control at the Delft University of Technology. Prior to joining TU Delft, he held several research appointments at EPFL, ETH Zurich, and MIT between 2014 and 2016. He received the BSc and MSc degrees from Sharif University of Technology, Iran, and the PhD degree from ETH Zurich. His research interests include theoretical and practical aspects of decision-making problems in uncertain and dynamic environments, with applications to control and security of large-scale and distributed systems. He was one of the three finalists for the Young Researcher Prize in Continuous Optimization awarded by the Mathematical Optimization Society in 2016, and was a recipient of the 2016 George S. Axelby Outstanding Paper Award from the IEEE Control Systems Society. He also received the ERC Starting Grant and the INFORMS Frederick W. Lanchester Prize in 2020.
Bio: Peyman Mohajerin Esfahani is currently an assistant professor in the Delft Center for Systems and Control at the Delft University of Technology. Prior to joining TU Delft, he held several research appointments at EPFL, ETH Zurich, and MIT between 2014 and 2016. He received the BSc and MSc degrees from Sharif University of Technology, Iran, and the PhD degree from ETH Zurich. His research interests include theoretical and practical aspects of decision-making problems in uncertain and dynamic environments, with applications to control and security of large-scale and distributed systems. He was one of the three finalists for the Young Researcher Prize in Continuous Optimization awarded by the Mathematical Optimization Society in 2016, and was a recipient of the 2016 George S. Axelby Outstanding Paper Award from the IEEE Control Systems Society. He also received the ERC Starting Grant and the INFORMS Frederick W. Lanchester Prize in 2020.
Practical information
- General public
- Free