Document Type



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.


Controls and Control Theory | Information Security | Process Control and Systems


This paper is an extended version of the author's paper published in the Proceedings of the 6th IFAC Conference on Nonlinear Model Predictive Control.

© 2018 by the author. This article is an open access article, published in the journal Mathematics and available at, and is distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (