Detecting and Handling Cyber-Attacks in Model Predictive Control of Chemical Processes

Zhe Wu, Fahad Albalawi, Junfeng Zhang, Zhihao Zhang, Helen Durand and Panagiotis D. Christofides
Additional contact information
Zhe Wu: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA
Fahad Albalawi: Department of Electrical and Computer Engineering, Taif University, Taif 21974, Saudi Arabia
Junfeng Zhang: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA
Zhihao Zhang: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA
Helen Durand: Department of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI 48202, USA
Panagiotis D. Christofides: Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095-1592, USA

Mathematics, 2018, vol. 6, issue 10, 1-22

Abstract: Since industrial control systems are usually integrated with numerous physical devices, the security of control systems plays an important role in safe operation of industrial chemical processes. However, due to the use of a large number of control actuators and measurement sensors and the increasing use of wireless communication, control systems are becoming increasingly vulnerable to cyber-attacks, which may spread rapidly and may cause severe industrial incidents. To mitigate the impact of cyber-attacks in chemical processes, this work integrates a neural network (NN)-based detection method and a Lyapunov-based model predictive controller for a class of nonlinear systems. A chemical process example is used to illustrate the application of the proposed NN-based detection and LMPC methods to handle cyber-attacks.

Keywords: industrial cyber-physical systems; cyber-attacks; neural network; model predictive control; nonlinear chemical processes (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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