FORCES Scientific Agenda: Summary of Progress Made and Outstanding Challenges
Saurabh Amin

Citation
Saurabh Amin. "FORCES Scientific Agenda: Summary of Progress Made and Outstanding Challenges". Talk or presentation, 4, November, 2015.

Abstract
This talk highlights the progress made by the FORCES team in developing a foundation for integrating resilient control (RC) algorithms with economic incentives (EI) schemes. Specifically, research outcomes in three topics will be summarized: (i) Analysis of network security games; (ii) Design of incentive mechanisms for efficient operation; (iii) Algorithms for learning, diagnostics, and control. All these problems face two key challenges: first, how to design RC algorithms that consider the cyber-physical interactions, and especially the stochastic hybrid dynamics that results from security and reliability failures? Second, how to design EI schemes that account for the presence of asymmetric (private) information among multiple strategic entities? An illustrative example will be used to demonstrate the solutions that are being developed by the FORCES team toward addressing these challenges.

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Citation formats

• HTML

  Saurabh Amin. <a
  href="http://www.cps-forces.org/pubs/89.html"
  ><i>FORCES Scientific Agenda: Summary of Progress
  Made and Outstanding Challenges</i></a>, Talk or
  presentation,  4, November, 2015.

• Plain text

  Saurabh Amin. "FORCES Scientific Agenda: Summary of
  Progress Made and Outstanding Challenges". Talk or
  presentation,  4, November, 2015.

• BibTeX

  @presentation{Amin15_FORCESScientificAgendaSummaryOfProgressMadeOutstanding,
      author = {Saurabh Amin},
      title = {FORCES Scientific Agenda: Summary of Progress Made
                and Outstanding Challenges},
      day = {4},
      month = {November},
      year = {2015},
      abstract = {This talk highlights the progress made by the
                FORCES team in developing a foundation for
                integrating resilient control (RC) algorithms with
                economic incentives (EI) schemes. Specifically,
                research outcomes in three topics will be
                summarized: (i) Analysis of network security
                games; (ii) Design of incentive mechanisms for
                efficient operation; (iii) Algorithms for
                learning, diagnostics, and control. All these
                problems face two key challenges: first, how to
                design RC algorithms that consider the
                cyber-physical interactions, and especially the
                stochastic hybrid dynamics that results from
                security and reliability failures? Second, how to
                design EI schemes that account for the presence of
                asymmetric (private) information among multiple
                strategic entities? An illustrative example will
                be used to demonstrate the solutions that are
                being developed by the FORCES team toward
                addressing these challenges.},
      URL = {http://cps-forces.org/pubs/89.html}
  }
  

Posted by Carolyn Winter on 4 Nov 2015.
Groups: forces
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