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SUMMARY:Kyriakos Vamvoudakis (Georgia Institute of Technology)
DTSTART:20210521T130000Z
DTEND:20210521T140000Z
DTSTAMP:20260423T003244Z
UID:MPML/44
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/44/">Le
 arning-Based Actuator Placement and Receding Horizon Control for Security 
 against Actuation Attacks</a>\nby Kyriakos Vamvoudakis (Georgia Institute 
 of Technology) as part of Mathematics\, Physics and Machine Learning (IST\
 , Lisbon)\n\n\nAbstract\nCyber-physical systems (CPS) comprise interacting
  digital\, analog\, physical\, and human components engineered for functio
 n through integrated physics and logic. Incorporating intelligence in CPS\
 , however\, makes their physical components more exposed to adversaries th
 at can potentially cause failure or malfunction through actuation attacks.
  As a result\, augmenting CPS with resilient control and design methods is
  of grave significance\, especially if an actuation attack is stealthy. To
 wards this end\, in the first part of the talk\, I will present a receding
  horizon controller\, which can deal with undetectable actuation attacks b
 y solving a game in a moving horizon fashion. In fact\, this controller ca
 n guarantee stability of the equilibrium point of the CPS\, even if the at
 tackers have an information advantage. The case where the attackers are no
 t aware of the decision-making mechanism of one another is also considered
 \, by exploiting the theory of bounded rationality. In the second part of 
 the talk\, and for CPS that have partially unknown dynamics\, I will prese
 nt an online actuator placement algorithm\, which chooses the actuators of
  the CPS that maximize an attack security metric. It can be proved that th
 e maximizing set of actuators is found in finite time\, despite the CPS ha
 ving uncertain dynamics.\n
LOCATION:https://researchseminars.org/talk/MPML/44/
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