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

Helen Durand
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Helen Durand: Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI 48202, USA

Mathematics, 2018, vol. 6, issue 9, 1-44

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.

Keywords: cybersecurity; process control; model predictive control (MPC); nonlinear systems theory; Lyapunov stability (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2018
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