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Full-Text Articles in Controls and Control Theory
A Nonlinear Systems Framework For Cyberattack Prevention For Chemical Process Control Systems, Helen Durand
A Nonlinear Systems Framework For Cyberattack Prevention For Chemical Process Control Systems, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
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.
Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand
Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Increasing pushes toward next-generation/smart manufacturing motivate the development of economic model predictive control (EMPC) designs which can be practically deployed. For EMPC, the constraints, objective function, and accuracy of the state predictions would benefit from process models that describe the process physics. However, obtaining first- principles models of chemical process systems can be time-consuming or challenging such that it is preferable to develop physics-based process models automatically from process operating data. In this work, we take initial steps in this direction by suggesting that because experiments that are used to characterize first-principles models often target specific types of data, an …
State Measurement Spoofing Prevention Through Model Predictive Control Design, Helen Durand
State Measurement Spoofing Prevention Through Model Predictive Control Design, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Security of chemical process control systems against cyberattacks is critical due to the potential for injuries and loss of life when chemical process systems fail. A potential means by which process control systems may be attacked is through the manipulation of the measurements received by the controller. One approach for addressing this is to design controllers that make manipulating the measurements received by the controller in any meaningful fashion very difficult, making the controllers a less attractive target for a cyberattack of this type. In this work, we develop a model predictive control (MPC) implementation strategy that incorporates Lyapunov-based stability …