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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:Fault detection in large scale nonlinear systems: an optimization-
 based approach with probabilistic performance
DTSTART:20150522T101500
DTSTAMP:20260407T043859Z
UID:7930346d9a1a39bb2049a517dd42367af6bb325320428956a7f4ede4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Peyman Mohajerin Esfahani\nIn this seminar we present a novel 
 perspective along with a scalable methodology to design a fault detection 
 and isolation (FDI) filter for high dimensional nonlinear systems. Previou
 s approaches on FDI problems are either confined to linear systems or they
  are only applicable to low dimensional dynamics with specific structures.
  In contrast\, shifting attention from the system dynamics to the disturba
 nce inputs\, we propose a relaxed design perspective to train a linear res
 idual generator given some statistical information about the disturbance p
 atterns. We then propose an optimization-based approach to robustify the f
 ilter with respect to finitely many signatures of the nonlinearity. Invoki
 ng recent results in randomized optimization\, we also provide theoretical
  guarantees for the performance of the proposed filer. The discussion will
  be motivated by a cyber-physical attack emanating from the vulnerabilitie
 s introduced by the interaction between IT infrastructure and power system
 Bio:\nPeyman Mohajerin Esfahani holds a dual-appointment as a postdoctoral
  researcher at the Risk Analytics and Optimization Chair at EPFL and the A
 utomatic Control Laboratory at ETH Zurich since April 2014. He is currentl
 y a visiting research scholar at the Laboratory for Information and Decisi
 on Systems at MIT. He received the B.Sc. and M.Sc degrees in Electrical En
 gineering both from Sharif University of Technology\, Tehran\, Iran\, in S
 eptember 2005 and December 2007\, respectively. In June 2008 he joined the
  Automatic Control Laboratory at ETH Zurich\, where he obtained the Ph.D. 
 degree in January 2014. His research interests include theoretical and pra
 ctical aspects of decision making problems in uncertain and dynamic enviro
 nments subject to information constraints\, with applications to control a
 nd security of large-scale and distributed systems\, in particular power n
 etworks and industrial cyber-physical systems.
LOCATION:ME C2 405 http://plan.epfl.ch/?zoom=20&recenter_y=5864084.17342&r
 ecenter_x=730960.62257&layerNodes=fonds\,batiments\,labels\,information\,p
 arkings_publics\,arrets_metro\,transports_publics&floor=2&q=me_c2%20405
STATUS:CONFIRMED
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