A survey on event-triggered sliding mode control
Event-triggered controllers are well known for guaranteeing the desired stability for a
sampled-data system with minimum resource utilization. Over the past decade, the study has …
sampled-data system with minimum resource utilization. Over the past decade, the study has …
Observer-based attack detection and mitigation for cyberphysical systems: A review
Demands for security, efficiency, and environmental protection have led to the rapid
deployment of cyberphysical systems (CPSs), which are now an integral part of modern …
deployment of cyberphysical systems (CPSs), which are now an integral part of modern …
A survey on sliding mode control for networked control systems
J Hu, H Zhang, H Liu, X Yu - International Journal of Systems …, 2021 - Taylor & Francis
In the framework of the networked control systems (NCSs), the components are connected
with each other over a shared band-limited network. The merits of NCSs include easy …
with each other over a shared band-limited network. The merits of NCSs include easy …
A survey on attack detection, estimation and control of industrial cyber–physical systems
Cyber–physical systems (CPSs) are complex systems that involve technologies such as
control, communication, and computing. Nowadays, CPSs have a wide range of applications …
control, communication, and computing. Nowadays, CPSs have a wide range of applications …
Deep reinforcement learning control approach to mitigating actuator attacks
This paper investigates the deep reinforcement learning based secure control problem for
cyber–physical systems (CPS) under false data injection attacks. We describe the CPS …
cyber–physical systems (CPS) under false data injection attacks. We describe the CPS …
Adaptive event-triggered fuzzy control for uncertain active suspension systems
H Li, Z Zhang, H Yan, X **e - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
This paper studies the adaptive event-triggered fuzzy control issue for active vehicle
suspension systems with uncertainties. Takagi-Sugeno fuzzy model is applied for …
suspension systems with uncertainties. Takagi-Sugeno fuzzy model is applied for …
Artificial intelligence for securing industrial-based cyber–physical systems
Z Lv, D Chen, R Lou, A Alazab - Future generation computer systems, 2021 - Elsevier
Objective: The combination of artificial intelligence and cyber–physical systems (CPSs) in
buildings has many advantages. Therefore, CPSs and artificial intelligence are studied …
buildings has many advantages. Therefore, CPSs and artificial intelligence are studied …
Event-triggering dissipative control of switched stochastic systems via sliding mode
This paper is concerned with the mean-square exponential stability and performance
analysis, stabilization, dissipative control and dissipativity-based sliding mode control (SMC) …
analysis, stabilization, dissipative control and dissipativity-based sliding mode control (SMC) …
Reduced-order observer-based dynamic event-triggered adaptive NN control for stochastic nonlinear systems subject to unknown input saturation
L Wang, CLP Chen - IEEE Transactions on Neural Networks …, 2020 - ieeexplore.ieee.org
In this article, a dynamic event-triggered control scheme for a class of stochastic nonlinear
systems with unknown input saturation and partially unmeasured states is presented. First, a …
systems with unknown input saturation and partially unmeasured states is presented. First, a …
Fault detection for fuzzy semi-Markov jump systems based on interval type-2 fuzzy approach
This article studies the fault detection problem for continuous-time fuzzy semi-Markov jump
systems (FSMJSs) by employing an interval type-2 (IT2) fuzzy approach. First, the …
systems (FSMJSs) by employing an interval type-2 (IT2) fuzzy approach. First, the …