An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems

Xu Jin, Wassim M. Haddad, Tansel Yucelen

Research output: Contribution to journalArticlepeer-review

192 Scopus citations


Recent technological advances in communications and computation have spurred a broad interest in control law architectures involving the monitoring, coordination, integration, and operation of sensing, computing, and communication components that tightly interact with the physical processes that they control. These systems are known as cyber-physical systems and due to their use of open computation and communication platform architectures, controlled cyber-physical systems are vulnerable to adversarial attacks. In this technical note, we propose a novel adaptive control architecture for addressing security and safety in cyber-physical systems. Specifically, we develop an adaptive controller that guarantees uniform ultimate boundedness of the closed-loop dynamical system in the face of adversarial sensor and actuator attacks that are time-varying and partial asymptotic stability when the sensor and actuator attacks are time-invariant. Finally, we provide a numerical example to illustrate the efficacy of the proposed adaptive control architecture.

Original languageEnglish
Article number7814246
Pages (from-to)6058-6064
Number of pages7
JournalIEEE Transactions on Automatic Control
Issue number11
StatePublished - Nov 2017

Bibliographical note

Funding Information:
Manuscript received April 4, 2016; revised September 6, 2016 and December 20, 2016; accepted January 6, 2017. Date of publication January 11, 2017; date of current version October 25, 2017. This work was supported in part by the Air Force Office of Scientific Research under Grant FA9550-16-1-0100. Recommended by Associate Editor H. Lin.

Publisher Copyright:
© 2012 IEEE.


  • Actuator attacks
  • adaptive control
  • cyber-physical systems
  • partial asymptotic stability
  • sensor attacks
  • uniform ultimate boundedness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering


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