Reinforcement learning for feedback-enabled cyber resilience

Y Huang, L Huang, Q Zhu - Annual reviews in control, 2022 - Elsevier
The rapid growth in the number of devices and their connectivity has enlarged the attack
surface and made cyber systems more vulnerable. As attackers become increasingly …

An overview on multi-agent consensus under adversarial attacks

H Ishii, Y Wang, S Feng - Annual Reviews in Control, 2022 - Elsevier
This paper presents an overview on the recent advances in the research of security of cyber–
physical systems. We place particular emphases on consensus problems for multi-agent …

Data-driven resilient predictive control under denial-of-service

W Liu, J Sun, G Wang, F Bullo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The study of resilient control of linear time-invariant (LTI) systems against denial-of-service
(DoS) attacks is gaining popularity in emerging cyber-physical applications. In previous …

Recent advances in event-triggered security control of networked systems: A survey

J Wu, C Peng, H Yang, YL Wang - International Journal of Systems …, 2022 - Taylor & Francis
Security control of networked control systems (NCSs) under vulnerable communication
environments has become an important topic both in theory and in practice. Due to …

Stochastic detection against deception attacks in CPS: Performance evaluation and game-theoretic analysis

Y Li, Y Yang, T Chai, T Chen - Automatica, 2022 - Elsevier
In this paper, we consider a security problem of remote state estimation in cyber–physical
systems (CPS). The state measurements of a dynamic process, obtained by wireless …

A survey of cyber-physical power system modeling methods for future energy systems

M Abdelmalak, V Venkataramanan, R Macwan - IEEE Access, 2022 - ieeexplore.ieee.org
The grid of the future will have a higher penetration of grid edge devices that enable
increased automation and grid edge intelligence. The current grid models do not account for …

[HTML][HTML] Recent advances in artificial intelligence and tactical autonomy: Current status, challenges, and perspectives

DH Hagos, DB Rawat - Sensors, 2022 - mdpi.com
This paper presents the findings of detailed and comprehensive technical literature aimed at
identifying the current and future research challenges of tactical autonomy. It discusses in …

Resilient penalty function method for distributed constrained optimization under byzantine attack

C Xu, Q Liu, T Huang - Information Sciences, 2022 - Elsevier
Distributed optimization algorithms have the advantages of privacy protection and parallel
computing. However, the distributed nature of these algorithms makes the system vulnerable …

Event-triggered robust MPC of nonlinear cyber-physical systems against DoS attacks

Q Sun, J Chen, Y Shi - Science China Information Sciences, 2022 - Springer
This paper proposes an event-triggered robust nonlinear model predictive control (NMPC)
framework for cyber-physical systems (CPS) in the presence of denial-of-service (DoS) …

Detecting stealthy integrity attacks in a class of nonlinear cyber–physical systems: A backward-in-time approach

K Zhang, C Keliris, MM Polycarpou, T Parisini - Automatica, 2022 - Elsevier
This paper proposes a stealthy integrity attack detection methodology for a class of
nonlinear cyber–physical systems subject to disturbances. An equivalent increment of the …