A cyber‐secure control‐detector architecture for nonlinear processes

doi:10.1002/aic.16907

Title: A cyber‐secure control‐detector architecture for nonlinear processes

Authors:

Chen, Scarlett ^[1]; Wu, Zhe ^[1];

^[2]

Department of Chemical and Biomolecular EngineeringUniversity of California Los Angeles California
Department of Chemical and Biomolecular EngineeringUniversity of California Los Angeles California, Department of Electrical and Computer EngineeringUniversity of California Los Angeles California

Publication Date:: 2020-01-13

Sponsoring Org.:: USDOE

OSTI Identifier:: 1582486

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: AIChE Journal

Additional Journal Information:: Journal Name: AIChE Journal Journal Volume: 66 Journal Issue: 5; Journal ID: ISSN 0001-1541

Publisher:: Wiley Blackwell (John Wiley & Sons)

Country of Publication:: United States

Language:: English

Citation Formats


                    Chen, Scarlett, Wu, Zhe, and Christofides, Panagiotis D. A cyber‐secure control‐detector architecture for nonlinear processes.  United States: N. p., 2020. 
        Web.  doi:10.1002/aic.16907.

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                    Chen, Scarlett, Wu, Zhe, & Christofides, Panagiotis D. A cyber‐secure control‐detector architecture for nonlinear processes.  United States.  doi:10.1002/aic.16907.

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                    Chen, Scarlett, Wu, Zhe, and Christofides, Panagiotis D. Mon .  
        "A cyber‐secure control‐detector architecture for nonlinear processes".  United States.  doi:10.1002/aic.16907.

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@article{osti_1582486,

  title        = {A cyber‐secure control‐detector architecture for nonlinear processes},

  author       = {Chen, Scarlett and Wu, Zhe and Christofides, Panagiotis D.},

  abstractNote = {},

  doi          = {10.1002/aic.16907},

  journal      = {AIChE Journal},

  number       = 5,

  volume       = 66,

  place        = {United States},

  year         = {2020},

  month        = {1}

}

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DOI: 10.1002/aic.16907

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Title: A cyber‐secure control‐detector architecture for nonlinear processes

Citation Formats

Attacks against process control systems: risk assessment, detection, and response conference, January 2011

Behaviour-Based Attack Detection and Classification in Cyber Physical Systems Using Machine Learning conference, January 2016

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection journal, July 2016

Bringing new technologies and approaches to the operation and control of chemical process systems journal, March 2019

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Cooperative distributed model predictive control journal, August 2010

Anomaly Detection in Cyber Physical Systems Using Recurrent Neural Networks conference, January 2017

Detecting and Handling Cyber-Attacks in Model Predictive Control of Chemical Processes journal, September 2018

Comprehensive study of decomposition effects on distributed output tracking of an integrated process over a wide operating range journal, June 2018

Cybersecurity for Control Systems: A Process-Aware Perspective journal, October 2016

Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks journal, December 2019

Intrusion detection by machine learning: A review journal, December 2009

Subsystem decomposition of process networks for simultaneous distributed state estimation and control journal, October 2018

Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks journal, November 2019

Model-based fault diagnosis in electric drives using machine learning journal, June 2006

Machine Learning Techniques for Anomaly Detection: An Overview journal, October 2013

Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties journal, October 2013

Survey on Anomaly Detection using Data Mining Techniques journal, January 2015

Machine Learning Methods for Attack Detection in the Smart Grid journal, August 2016

Optimization and control of a thin film growth process: A hybrid first principles/artificial neural network based multiscale modelling approach journal, November 2018

Attacks against process control systems: risk assessment, detection, and response
conference, January 2011

Behaviour-Based Attack Detection and Classification in Cyber Physical Systems Using Machine Learning
conference, January 2016

A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
journal, July 2016

Bringing new technologies and approaches to the operation and control of chemical process systems
journal, March 2019

Machine‐learning‐based predictive control of nonlinear processes. Part II: Computational implementation
journal, July 2019

A Cumulative Sum-Based Fault Detector for Power System Relaying Application
journal, January 2008

Smart plant operations: Vision, progress and challenges
journal, January 2007

Cooperative distributed model predictive control
journal, August 2010

Anomaly Detection in Cyber Physical Systems Using Recurrent Neural Networks
conference, January 2017

Detecting and Handling Cyber-Attacks in Model Predictive Control of Chemical Processes
journal, September 2018

Comprehensive study of decomposition effects on distributed output tracking of an integrated process over a wide operating range
journal, June 2018

Cybersecurity for Control Systems: A Process-Aware Perspective
journal, October 2016

Modelling and optimization of a pilot-scale entrained-flow gasifier using artificial neural networks
journal, December 2019

Intrusion detection by machine learning: A review
journal, December 2009

Subsystem decomposition of process networks for simultaneous distributed state estimation and control
journal, October 2018

Nonlinear model predictive control of a multiscale thin film deposition process using artificial neural networks
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Model-based fault diagnosis in electric drives using machine learning
journal, June 2006

Machine Learning Techniques for Anomaly Detection: An Overview
journal, October 2013

Distributed moving horizon state estimation for nonlinear systems with bounded uncertainties
journal, October 2013

Survey on Anomaly Detection using Data Mining Techniques
journal, January 2015

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