Sampled-data control systems with non-uniform sampling: A survey of methods and trends

XM Zhang, QL Han, X Ge, B Ning, BL Zhang - Annual Reviews in Control, 2023 - Elsevier
The convergence of sensing, computing, communication and control elements drives the
traditional point-to-point control systems towards networked control systems. Sampled-data …

An overview of filtering for sampled-data systems under communication constraints

Y Wang, H Liu, H Tan - International Journal of Network Dynamics and …, 2023 - sciltp.com
The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …

Dynamic event-triggered security control for networked control systems with cyber-attacks: A model predictive control approach

B Li, X Zhou, Z Ning, X Guan, KFC Yiu - Information Sciences, 2022 - Elsevier
This article studies a dynamic event-triggered security control problem for networked control
systems subject to deception attacks and packet dropouts. First, a combined cyber-attack …

A survey on attack detection, estimation and control of industrial cyber–physical systems

D Zhang, QG Wang, G Feng, Y Shi, AV Vasilakos - ISA transactions, 2021 - Elsevier
Cyber–physical systems (CPSs) are complex systems that involve technologies such as
control, communication, and computing. Nowadays, CPSs have a wide range of applications …

Smart factory of industry 4.0: Key technologies, application case, and challenges

B Chen, J Wan, L Shu, P Li, M Mukherjee, B Yin - Ieee Access, 2017 - ieeexplore.ieee.org
Due to the current structure of digital factory, it is necessary to build the smart factory to
upgrade the manufacturing industry. Smart factory adopts the combination of physical …

Smart grid architecture model for control, optimization and data analytics of future power networks with more renewable energy

DK Panda, S Das - Journal of Cleaner Production, 2021 - Elsevier
This paper describes a generic methodology to develop mathematical and computational
models of different components of the smart grid architecture model (SGAM). The SGAM …

Resilient control design based on a sampled-data model for a class of networked control systems under denial-of-service attacks

XM Zhang, QL Han, X Ge, L Ding - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This article is concerned with designing resilient state feedback controllers for a class of
networked control systems under denial-of-service (DoS) attacks. The sensor samples …

Improved event-triggered dynamic output feedback control for networked T–S fuzzy systems with actuator failure and deception attacks

H Zhang, N Zhao, S Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article addresses the problem of event-triggered dynamic output feedback controller
design for networked Takagi-Sugeno (T–S) fuzzy systems subject to actuator failure and …

Machine learning for intrusion detection in industrial control systems: Applications, challenges, and recommendations

MA Umer, KN Junejo, MT Jilani, AP Mathur - International Journal of …, 2022 - Elsevier
Methods from machine learning are used in the design of secure Industrial Control Systems.
Such methods focus on two major areas: detection of intrusions at the network level using …

A machine learning approach for anomaly detection in industrial control systems based on measurement data

S Mokhtari, A Abbaspour, KK Yen, A Sargolzaei - Electronics, 2021 - mdpi.com
Attack detection problems in industrial control systems (ICSs) are commonly known as a
network traffic monitoring scheme for detecting abnormal activities. However, a network …