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SUMMARY:Safe Automation for Intelligence Systems
DTSTART:20210216T124500
DTEND:20210216T134500
DTSTAMP:20260501T134043Z
UID:a3232bc0a6bd7764472454298b3701e72c4bb442b78e06890cacbe1e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Peyman Mohajerin Esfahani\, Delft Center for Systems and
  Control\, Delft University of Technology\nAbstract: Digitalization offers
  ample opportunities for improving the monitoring\, maintenance\, and perf
 ormance of future industrial systems. Harnessing this potential calls for 
 novel mathematical foundations of automation along with scalable computati
 onal tools. The first part of this seminar focuses on the fault estimation
  problem in automation. We discuss concrete ideas that create synergy betw
 een traditional model-based approaches and modern data-driven analytics. T
 he discussion will be motivated by an application of the lateral safety sy
 stems of automated vehicles. The second part focuses on the computational 
 aspect of the real-time control synthesis. We propose a numerical scheme f
 or approximate implementation of the dynamic programming (DP) operation. W
 e will discuss how an interesting analogy between the convex conjugate ope
 rator 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 t
 he discrete state and input spaces\, respectively.\n\nBio: Peyman Mohajeri
 n Esfahani is currently an assistant professor in the Delft Center for Sys
 tems and Control at the Delft University of Technology. Prior to joining T
 U Delft\, he held several research appointments at EPFL\, ETH Zurich\, and
  MIT between 2014 and 2016. He received the BSc and MSc degrees from Shari
 f University of Technology\, Iran\, and the PhD degree from ETH Zurich. Hi
 s 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 on
 e of the three finalists for the Young Researcher Prize in Continuous Opti
 mization awarded by the Mathematical Optimization Society in 2016\, and wa
 s a recipient of the 2016 George S. Axelby Outstanding Paper Award from th
 e IEEE Control Systems Society. He also received the ERC Starting Grant an
 d the INFORMS Frederick W. Lanchester Prize in 2020.
LOCATION:https://epfl.zoom.us/j/82847775328?pwd=em1VcWtBalNxRU5qQmhKTGhYQ0
 hWZz09
STATUS:CONFIRMED
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