Learning-based actuator selection for increased attack resilience of uncertain systems
F Fotiadis, KG Vamvoudakis - Automatica, 2024 - Elsevier
In this paper, we consider a security-aware and learning-based actuator selection
formulation for cyber–physical systems. A set of actuators is chosen to be used by the …
formulation for cyber–physical systems. A set of actuators is chosen to be used by the …
Attacks on perception-based control systems: Modeling and fundamental limits
We study the performance of perception-based control systems in the presence of attacks,
and provide methods for modeling and analysis of their resiliency to stealthy attacks on both …
and provide methods for modeling and analysis of their resiliency to stealthy attacks on both …
[PDF][PDF] A feedback-optimization-based model-free attack scheme in networked control systems
The data-driven attack strategies recently have received much attention when the system
model is unknown to the adversary. Depending on the unknown linear system model, the …
model is unknown to the adversary. Depending on the unknown linear system model, the …
Model-free False Data Injection Attack in Networked Control Systems: A Feedback Optimization Approach
Security issues have gathered growing interest within the control systems community, as
physical components and communication networks are increasingly vulnerable to cyber …
physical components and communication networks are increasingly vulnerable to cyber …
Closed-Form and Robust Expressions for the Data-Driven Control of Centralized and Distributed Systems
F Celi - 2024 - escholarship.org
The traditional approach for the control of dynamical systems relies on the availability of a
model describing the system to be controlled. Typically, a model is derived from first …
model describing the system to be controlled. Typically, a model is derived from first …