Dynamic event-triggered model-free adaptive control for nonlinear CPSs under aperiodic DoS attacks

YS Ma, WW Che, C Deng - Information Sciences, 2022 - Elsevier
This paper studies the dynamic event-triggered model-free adaptive control (DET-MFAC)
problem for nonlinear cyber-physical systems (CPSs) subject to aperiodic denial-of-service …

[HTML][HTML] Multi-layer defense algorithm against deep reinforcement learning-based intruders in smart grids

HM Rouzbahani, H Karimipour, L Lei - … Journal of Electrical Power & Energy …, 2023 - Elsevier
Abstract The Internet of Energy envisions the next generation of smart grids as a highly
interconnected network, including advanced metering infrastructures, distributed energy …

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 …

Sparse actuator attack detection and identification: A data-driven approach

Z Zhao, Y Xu, Y Li, Y Zhao, B Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article aims to investigate the data-driven attack detection and identification problem for
cyber–physical systems under sparse actuator attacks, by developing tools from subspace …

Event‐triggered model‐free adaptive control for nonlinear cyber‐physical systems with false data injection attacks

YS Ma, WW Che, C Deng - International Journal of Robust and …, 2022 - Wiley Online Library
This article studies the event‐triggered model‐free adaptive control (ET‐MFAC) problem for
a class of nonlinear cyber‐physical systems (CPSs) in the case of false data injection (FDI) …

Detection and identification of cyberattacks and physical faults in multi-agent systems: A distributed disturbance decoupling observer

Y Hu, X Dai, D Cui, T Chai - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
This article investigates the detection and identification of physical faults in devices and false-
data-injection attacks in communication networks for multi-agent systems with event …

Performance guaranteed attack reconstruction for cyber–physical systems: A new intermediate estimator-based framework

JW Zhu, Q Wang, SX Ding, WA Zhang, L Yu - Automatica, 2022 - Elsevier
For attack reconstruction issue of cyber–physical systems (CPSs), it is a challenge to
guarantee online computational efficiency and reconstruction accuracy simultaneously …

Optimal strictly stealthy attack design on cyber–physical systems: A data-driven approach

Z Li, Z Zhao, SX Ding, Y Yang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this article, an issue of data-driven optimal strictly stealthy attack design for the stochastic
linear invariant systems is investigated, with the aim of maximizing the system performance …

A worst-case approach to safety and reference tracking for cyber-physical systems under network attacks

K Gheitasi, W Lucia - IEEE Transactions on Automatic Control, 2022 - ieeexplore.ieee.org
In this technical note, the safety and reference tracking control problems for cyber-physical
systems (CPSs) equipped with authenticated communication channels are addressed. In …

Consumer interest with regard to product completeness, promotion and location: the case of Indonesia.

W Utari, N Jannah, N Sobakh - Economic Annals-XXI …, 2021 - search.ebscohost.com
The paper deals with the impact of product completeness, promotion and location on
consumer interest in buying at Sentra Kuliner Pakal Benowo Surabaya in East Java …