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A Nonlinear Systems Framework for Cyberattack Prevention for Chemical Process Control Systems †

Author

Listed:
  • Helen Durand

    (Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI 48202, USA
    This paper is an extended version of our paper published in the Proceedings of the 6th IFAC Conference on Nonlinear Model Predictive Control.
    Current address: 5050 Anthony Wayne Drive, Detroit, MI 48202, USA.)

Abstract

Recent cyberattacks against industrial control systems highlight the criticality of preventing future attacks from disrupting plants economically or, more critically, from impacting plant safety. This work develops a nonlinear systems framework for understanding cyberattack-resilience of process and control designs and indicates through an analysis of three control designs how control laws can be inspected for this property. A chemical process example illustrates that control approaches intended for cyberattack prevention which seem intuitive are not cyberattack-resilient unless they meet the requirements of a nonlinear systems description of this property.

Suggested Citation

  • Helen Durand, 2018. "A Nonlinear Systems Framework for Cyberattack Prevention for Chemical Process Control Systems †," Mathematics, MDPI, vol. 6(9), pages 1-44, September.
    • Handle: RePEc:gam:jmathe:v:6:y:2018:i:9:p:169-:d:169921
    as

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