An Improved Protocol to Consensus of Delayed MASs With UNMS and Aperiodic DoS Cyber-Attacks

Wang, Xin; Park, Ju H.; Yang, Huilan

doi:10.1109/tnse.2021.3098258

Cited by 22 publications

(3 citation statements)

References 52 publications

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“…The identical consensus of the MASs are achieved by impulsive control strategy. (ii) In [7,18,19] and [26], the authors studied the identical consensus of MASs under DoS attacks, however, the DAs and impulse were not considered. In [8] and [23], the authors researched the identical consensus of MASs under DAs, and yet the DoS attacks were not considered.…”

Section: Introductionmentioning

confidence: 99%

Leader-following identical consensus for Markov jump nonlinear multi-agent systems subjected to attacks with impulse

Zhou,

Huang,

et al. 2023

NAMC

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The issue of leader-following identical consensus for nonlinear Markov jump multiagent systems (NMJMASs) under deception attacks (DAs) or denial-of-service (DoS) attacks is investigated in this paper. The Bernoulli random variable is introduced to describe whether the controller is injected with false data, that is, whether the systems are subjected to DAs. A connectivity recovery mechanism is constructed to maintain the connection among multi-agents when the systems are subjected to DoS attack. The impulsive control strategy is adopted to ensure that the systems can normally work under DAs or DoS attacks. Based on graph theory, Lyapunov stability theory, and impulsive theory, using the Lyapunov direct method and stochastic analysis method, the sufficient conditions of identical consensus for Markov jump multi-agent systems (MJMASs) under DAs or DoS are obtained, respectively. Finally, the correctness of the results and the effectiveness of the method are verified by two numerical examples.

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Section: Introductionmentioning

confidence: 99%

Leader-following identical consensus for Markov jump nonlinear multi-agent systems subjected to attacks with impulse

Zhou,

Huang,

et al. 2023

NAMC

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“…In recent years, multi-agent systems have been widely used in robots, factories, laboratories and networks [ 1 , 2 , 3 , 4 ]. However, because of actuator failure and system uncertainty, intelligent fault-tolerant control of multiple agents has become a research hotspot [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Interval Type-II Fuzzy Fault-Tolerant Control for Constrained Uncertain 2-DOF Robotic Multi-Agent Systems with Active Fault Detection

Yan

Qin

et al. 2023

Sensors

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This study proposed a novel adaptive interval Type-II fuzzy fault-tolerant control for constrained uncertain 2-DOF robotic multi-agent systems with an active fault-detection algorithm. This control method can realize the predefined-accuracy stability of multi-agent systems under input saturation constraint, complex actuator failure and high-order uncertainties. Firstly, a novel active fault-detection algorithm based on pulse-wave function was proposed to detect the failure time of multi-agent systems. To the best of our knowledge, this was the first time that an active fault-detection strategy had been used in multi-agent systems. Then, a switching strategy based on active fault detection was presented to design the active fault-tolerant control algorithm of the multi-agent system. In the end, based on the interval type-II fuzzy approximated system, a novel adaptive fuzzy fault-tolerant controller was proposed for multi-agent systems to deal with system uncertainties and redundant control inputs. Compared with other relevant fault-detection and fault-tolerant control methods, the proposed method can achieve predefinition of stable accuracy with smoother control input. The theoretical result was verified by simulation.

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“…Cyber-attacks, including deception attacks (DAs) [18], [19] and denial-of-service (DoS) attacks [20], [23], as communication channels are vulnerable to malicious attacks, have become a serious threat to network security [21], [22]. In general, DAs modify the validity of the transmitted data, while DoS attacks interfere with the sharing network media to disable data transmission.…”

mentioning

confidence: 99%

Dynamic Event-Triggered Control for GSES of Memristive Neural Networks Under Multiple Cyber-Attacks

Wang

Park

Liu

et al. 2024

IEEE Trans. Neural Netw. Learning Syst.

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In this article, the dynamic event-triggered control problem of memristive neural networks (MNNs) under multiple cyber-attacks is considered. A novel dynamic event-triggering scheme (DETS) and the corresponding event-triggered controller are proposed by taking into consideration both denial-of-service and deception attacks (DoS-DAs). Then, a key lemma is established to show that the dynamic event-triggered controller can be used to solve the globally stochastically exponential stability (GSES) issue of concerned MNN under multiple cyber-attacks. Meanwhile, a novel Lyapunov functional is proposed based on the actual sampling pattern. It is shown that under our proposed dynamic event-triggered controller and Lyapunov functional, the concerned MNN can achieve GSES in the presence of DoS-DAs. In addition, our results include relevant results on event-triggered control of MNN with static event-triggering scheme (SETS) or without cyber-attacks as special cases. The effectiveness of the proposed event-triggered controller under multiple cyber-attacks is illustrated by a simulation example.

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An Improved Protocol to Consensus of Delayed MASs With UNMS and Aperiodic DoS Cyber-Attacks

Cited by 22 publications

References 52 publications

Leader-following identical consensus for Markov jump nonlinear multi-agent systems subjected to attacks with impulse

Leader-following identical consensus for Markov jump nonlinear multi-agent systems subjected to attacks with impulse

Interval Type-II Fuzzy Fault-Tolerant Control for Constrained Uncertain 2-DOF Robotic Multi-Agent Systems with Active Fault Detection

Dynamic Event-Triggered Control for GSES of Memristive Neural Networks Under Multiple Cyber-Attacks

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