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Design of nonsingular second-order terminal sliding mode controller for cyber-physical systems with time-delays and cyber-attack on actuators
This paper introduces an innovative adaptive nonsingular Second-Order Terminal Sliding
Mode (SOTSM) control strategy specifically designed to stabilise disturbed nonlinear Cyber …
Mode (SOTSM) control strategy specifically designed to stabilise disturbed nonlinear Cyber …
A 3D discrete memristor hyperchaotic map with application in dual-channel random signal generator
B Xu, X She, L Jiang, S Zou, G Qiu, J Zhao - Chaos, Solitons & Fractals, 2023 - Elsevier
Chaotic systems are widely used in many applications for their pseudo-random sequences
of fixed mathematical models. Several academics and engineers prefer using discrete maps …
of fixed mathematical models. Several academics and engineers prefer using discrete maps …
Protocol-based distributed security fusion estimation for time-varying uncertain systems over sensor networks: Tackling DoS attacks
This article studies the distributed fusion estimation (DFE) issue for networked multi-sensor
systems (NMSSs) with stochastic uncertainties, bandwidth-constrained network and energy …
systems (NMSSs) with stochastic uncertainties, bandwidth-constrained network and energy …
Distributed filter design over sensor networks under try-once-discard protocol: Dealing with sensor-bias-corrupted measurement censoring
A new distributed filtering problem is fully studied in this article for time-varying systems over
sensor networks under measurement errors and measurement censoring, where the …
sensor networks under measurement errors and measurement censoring, where the …
Globally optimal distributed and sequential state fusion filters for multi-sensor systems with correlated noises
J Ma, S Sun - Information Fusion, 2023 - Elsevier
The problem concerning the multi-sensor fusion filtering for systems with correlated system
and measurement noises is studied in this paper. Each sensor produces a local predictor by …
and measurement noises is studied in this paper. Each sensor produces a local predictor by …
Critical-metrics-based attack strategy and resilient H∞ state estimator design for multi-area power systems
This paper discusses the issue of attack-defense framework for multi-area power systems.
The primary objective is to propose a novel critical-metrics-based (CMB) attack strategy from …
The primary objective is to propose a novel critical-metrics-based (CMB) attack strategy from …
Covariance intersection based event-triggered distributed state estimation under channel independent DoS attacks
Y Hu, X Zhang, X Lin - Neurocomputing, 2024 - Elsevier
This paper investigates the event-triggered distributed state estimation problem for a class of
discrete time-varying systems in the presence of denial-of-service (DoS) attacks, where each …
discrete time-varying systems in the presence of denial-of-service (DoS) attacks, where each …
Set-membership multi-sensor secure fusion estimation against two-channel malicious attacks
H Song, K Chen, Z Zheng, WA Zhang - Information Sciences, 2023 - Elsevier
In this study, the set-membership secure fusion estimation problem against malicious attacks
is addressed. In practice, adversaries are able to tamper with the measurement outputs and …
is addressed. In practice, adversaries are able to tamper with the measurement outputs and …
A survey on fault detection for networked systems under communication constraints
W Chen, J Hu, Z Wu, S Ma - Systems Science & Control …, 2025 - Taylor & Francis
With the rapid advancement of information technology, the networked systems (NSs) have
found extensive application across various fields. As the complexity and scale of NSs …
found extensive application across various fields. As the complexity and scale of NSs …
Quantized Nonfragile State Estimation of Memristor-Based Fractional-Order Neural Networks with Hybrid Time Delays Subject to Sensor Saturations
X Shao, Y Lu, J Zhang, M Lyu, Y Yang - Fractal and Fractional, 2024 - mdpi.com
This study addresses the issue of nonfragile state estimation for memristor-based fractional-
order neural networks with hybrid randomly occurring delays. Considering the finite …
order neural networks with hybrid randomly occurring delays. Considering the finite …