Articles with "deception attacks" as a keyword



Security control of direct current microgrids under deception attacks—A dynamic event‐triggered approach

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Published in 2024 at "Asian Journal of Control"

DOI: 10.1002/asjc.3441

Abstract: This paper studies the security control of direct current (DC) microgrids under deception attacks, and a dynamic event‐triggered mechanism (DETM) is proposed to save constrained network bandwidth. The DETM can reduce the frequency of data… read more here.

Keywords: deception; deception attacks; security control; control direct ... See more keywords

Static output feedback control for discrete‐time hidden Markov jump systems against deception attacks

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Published in 2019 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.4737

Abstract: This paper investigates the static output feedback control problem for Markov jump systems subject to asynchronous mode information and deception attacks. A hidden Markov model is employed to observe the unmeasurable system mode. In this… read more here.

Keywords: static output; deception attacks; markov; output feedback ... See more keywords

Quantized control for switched systems suffered by deception attacks and unknown disturbance

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Published in 2023 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.6702

Abstract: The purpose of this paper is designing a feedback controller based on quantized sampled data to stabilize a continuous‐time switched system affected by unknown disturbance and deception attacks. Suppose that the switch is slow enough… read more here.

Keywords: time; control; unknown disturbance; deception ... See more keywords

Resilient Formation Tracking for Networked Swarm Systems Under Malicious Data Deception Attacks

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Published in 2024 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7777

Abstract: A distributed time‐varying formation tracking method for a leader‐following networked swarm system in the presence of malicious deception attacks is proposed in this paper. Both state and output equations are injected with false data by… read more here.

Keywords: deception attacks; formation tracking; resilient formation; networked swarm ... See more keywords

Protocol‐Based PID Control for Stochastic Multiagent Systems Under Deception Attacks: Handling Quasi‐Consensus in Probability

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Published in 2025 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7820

Abstract: In this paper, we investigate the problem of observer‐based proportional‐integral‐derivative (PID) quasi‐consensus control for a specific class of stochastic multi‐agent systems (MASs) subject to deception attacks. This study is driven by practical engineering challenges where… read more here.

Keywords: based pid; quasi consensus; control; deception attacks ... See more keywords

Finite‐Time Adaptive Tracking Control for Non‐Linear Networked Control Systems With Prescribed Performance Under Unknown Deception Attacks

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Published in 2025 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7831

Abstract: This paper investigates the finite‐time adaptive tracking control problem for non‐linear networked control systems with prescribed performance under unknown deception attacks. To mitigate the effects caused by unknown deception attacks, a series of auxiliary signals… read more here.

Keywords: control; deception attacks; time adaptive; finite time ... See more keywords
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Event-based asynchronous and resilient filtering for Markov jump singularly perturbed systems against deception attacks.

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Published in 2020 at "ISA transactions"

DOI: 10.1016/j.isatra.2020.11.029

Abstract: The dynamic event-based asynchronous and resilient dissipative filter design for Markov jump singularly perturbed systems (MJSPSs) against stochastic deception attacks is discussed in this paper. Firstly, a novel dynamic event-based transmission protocol is provided to… read more here.

Keywords: event based; based asynchronous; asynchronous resilient; deception attacks ... See more keywords

Fusion estimation in clustering sensor networks under stochastic deception attacks

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Published in 2018 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2018.1496301

Abstract: ABSTRACT In this paper, a fusion estimation problem in clustering sensor networks under stochastic deception attacks is investigated. The sensors are divided into several clusters, and a local estimator is embedded in each cluster. During… read more here.

Keywords: estimation; fusion estimation; clustering sensor; deception attacks ... See more keywords
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Finite-time memory fault detection filter design for nonlinear discrete systems with deception attacks

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Published in 2020 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2020.1765219

Abstract: ABSTRACT In this paper, the finite-time memory fault detection filter (MFDF) is designed for nonlinear discrete systems with randomly occurring deception attacks, where the phenomenon of the randomly occurring deception attacks is characterised by a… read more here.

Keywords: fault detection; detection; detection filter; deception attacks ... See more keywords
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The safety region-based model predictive control for discrete-time systems under deception attacks

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Published in 2021 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2021.1879965

Abstract: In this paper, a resilient control problem is investigated for the discrete-time linear system subjected to both input constraint and additive disturbances. In addition, deception attacks are also taken into consideration which could compromise the… read more here.

Keywords: control; safety region; discrete time; deception attacks ... See more keywords
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Observer-based non-fragile H ∞-consensus control for multi-agent systems under deception attacks

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Published in 2021 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2021.1884917

Abstract: This paper addresses the non-fragile -consensus control problem for multi-agent systems subject to deception attacks and missing measurements based on the designed observers. First of all, a sequence of Bernoulli distributed stochastic variables is applied… read more here.

Keywords: agent; fragile consensus; non fragile; multi agent ... See more keywords