With the integration of computation, networking, and physical process components to
seamlessly combine hardware and software resources to improve process efficiency …

Due to cyber threats, Process Control Systems (PCS) are increasingly at risk in the
interconnected world. This review elucidates PCS's mounting cybersecurity challenges …

This study presents an encrypted two-tier control architecture integrated with a machine
learning (ML) based cyberattack detector to enhance the operational safety, cyber-security …

Economic model predictive control (EMPC) is a promising methodology for optimal
operation of dynamical processes that has been shown to improve process economics …

With the integration of internet of things (IoT) devices, cloud computing, and other digital
technologies into chemical processes, the complexity and stealthiness of cyber-attacks have …

In recent years, cyber‐security of networked control systems has become crucial, as these
systems are vulnerable to targeted cyberattacks that compromise the stability, integrity, and …

This paper investigates the cyber resiliency of future power systems with high penetration of
distributed energy resources using advanced distributed and (or) hierarchical control …

In this paper, a data-driven constrained state estimation method is proposed for nonlinear
processes. Within the Koopman operator framework, we propose a data-driven model …

This work focuses on develo** and applying Encrypted Lyapunov-based Model Predictive
Control (LMPC) in a nonlinear chemical process network for Ethylbenzene production. The …

The problem of resilient control of linear cyber‐physical systems with cyber‐attacked sensor
measurements and actuator commands is studied in this article. Online reconstruction of …