Scenario-based defense mechanism for distributed model predictive control

P. Velarde, J. M. Maestre, H. Ishii, R. R. Negenborn

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

9 Citations (Scopus)

Abstract

In this paper, we present an analysis of the vulnerability of a distributed model predictive control (DMPC) scheme in the context of cyber-security. We consider different types of the so-called insider attacks. In particular, we consider the situation where one of the local controllers sends false information to others to manipulate costs for its own advantage. Then, we propose a popular scenario-based mechanism to protect or, at least, relieve the consequences of the attack in a typical DMPC negotiation procedure. The theoretical and algorithmic properties of this defense mechanism are also analyzed. A realistic case study based on a local energy grid of households is provided to illustrate both the consequences of the attacks and the defense mechanisms.

Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE 56th Annual Conference on Decision and Control (CDC 2017)
EditorsA. Astolfi
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages6171-6176
ISBN (Electronic)978-1-5090-2873-3
DOIs
Publication statusPublished - 2017
EventCDC 2017: 56th IEEE Annual Conference on Decision and Control - Melbourne, Australia
Duration: 12 Dec 201715 Dec 2017
http://cdc2017.ieeecss.org/

Conference

ConferenceCDC 2017: 56th IEEE Annual Conference on Decision and Control
CountryAustralia
CityMelbourne
Period12/12/1715/12/17
OtherThe CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.
Internet address

Keywords

  • Couplings
  • Robustness
  • Cost function
  • Predictive control
  • Electronic mail

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