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

Mathematics

Helen Durand¹ 

[1] Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI 48202, USA;

关键词: cybersecurity;    process control;    model predictive control (MPC);    nonlinear systems theory;    Lyapunov stability;   

DOI  :  10.3390/math6090169

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown