Next Article in Journal
Convergence in Fuzzy Semi-Metric Spaces
Next Article in Special Issue
Recurrent Neural Network-Based Model Predictive Control for Continuous Pharmaceutical Manufacturing
Previous Article in Journal
Equivalences of Riemann Integral Based on p-Norm
Previous Article in Special Issue
Approximate Dynamic Programming Based Control of Proppant Concentration in Hydraulic Fracturing
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessFeature PaperArticle
Mathematics 2018, 6(9), 169; https://doi.org/10.3390/math6090169

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

†,‡
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.
Received: 13 August 2018 / Revised: 11 September 2018 / Accepted: 12 September 2018 / Published: 14 September 2018
(This article belongs to the Special Issue New Directions on Model Predictive Control)
Full-Text   |   PDF [950 KB, uploaded 14 September 2018]   |  

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. View Full-Text
Keywords: cybersecurity; process control; model predictive control (MPC); nonlinear systems theory; Lyapunov stability cybersecurity; process control; model predictive control (MPC); nonlinear systems theory; Lyapunov stability
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Durand, H. A Nonlinear Systems Framework for Cyberattack Prevention for Chemical Process Control Systems . Mathematics 2018, 6, 169.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Mathematics EISSN 2227-7390 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top