Secure synchronization of stochastic complex networks subject to deception attack with nonidentical nodes and internal disturbance

Feng, Jianwen; Xie, Jiaming; Wang, Jingyi; Zhao, Yi

doi:10.1016/j.ins.2020.08.085

Cited by 30 publications

(7 citation statements)

References 29 publications

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“…By solving the generalized eigenvalue problem (9), we get 𝛼 = 11.5, 𝜆 max (P) 𝜆 min (P) = 1.1705. According to condition (11) in Theorem 1, one obtains f 2 < 0.0133. Choose the impulsive interval f 1 = f 2 = 0.006.…”

Section: Numerical Examplesmentioning

confidence: 93%

Bipartite synchronization of multi‐agent systems under deception attacks via pinning delayed‐impulsive control

Dai

Guo

et al. 2023

Intl J Robust & Nonlinear

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This article aims to investigate the bipartite synchronization problem of multi-agent systems (MASs) under deception attacks. A pinning delayed-impulsive control scheme is proposed to solve the synchronization of MASs under deception attacks that modify the transmitted data information and destroy the data integrity. The time delay can have a gain effect on the stability of the system by using time delay utilization technology. By selecting the appropriate time delay parameters, the convergence speed of the system is effectively improved. Furthermore, cooperative and competitive interactions between agents are considered. Sufficient conditions of the bipartite mean-square bounded synchronization of MASs under deception attacks are theoretically obtained. Finally, the designed numerical simulations illustrate the correctness and effectiveness of our results.

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Section: Numerical Examplesmentioning

confidence: 93%

Bipartite synchronization of multi‐agent systems under deception attacks via pinning delayed‐impulsive control

Dai

Guo

et al. 2023

Intl J Robust & Nonlinear

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“…Summarize the aforementioned research results and to our best knowledge, there is rarely research to take advantage of impulsive control method to achieve consensus for MASs against the state‐dependent sensor attacks. Because the sensor attacks are different from the additive deception attacks referred in References 29 and 30, the present design methods of control gain in the impulsive controller can not resist the sensor attacks effectively. Moreover, in the present research results about impulsive consensus control for MASs against deception attack, the dynamics of agents is required to be deterministic.…”

Section: Introductionmentioning

confidence: 90%

“…In Reference 28, a pinning impulsive controller was researched in which the average impulsive interval and average impulsive gain were introduced. At present, the impulsive control has been utilized to handle a type of additive deception attack in MASs 23,29 or complex networks, 30 in which impulsive control has showed its robustness to additive deception attacks by reducing the influence of false signal on systems 23 . Similarly, Reference 28 introduced a type of deception attack which can destroy the connected network topology between agents in the impulsive control.…”

Section: Introductionmentioning

confidence: 99%

Adaptive impulsive security consensus control of uncertain multi‐agent systems with randomly occurring nonlinearities

Ren

Chen

2022

Intl J Robust & Nonlinear

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In practice, deception attacks, uncertainties, and randomly occurring nonlinearities (RONs) in multi-agent systems (MASs) are ubiquitous. Consequently, this paper settles the problem of secure consensus tracking control for uncertain MASs with randomly occurring nonlinearities under sensor attacks by adopting adaptive impulsive control methods. Compared with the previous works, a class of state-dependent sensor attack is firstly considered in the impulsive control. Meanwhile, a novel adaptive algorithm is introduced to deal with unknown system matrices, randomly occurring nonlinearities and uncertain parameters caused by sensor attacks. Sufficient conditions are derived to achieve leader-following consensus for the MASs by adaptive impulsive control under sensor attacks. Lastly, two simulation examples illustrate the validity of theorems in this paper.

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“…In recent years, as a characteristic collective behavior of complex networks, the synchronization problem of complex networks has received more and more attention from different fields because of its outstanding potential applications and outstanding achievements in nature, social, and technological fields [ 1 , 2 , 3 , 4 ]. The complexity of the system can be expressed by entropy.…”

Section: Introductionmentioning

confidence: 99%

Synchronization in Finite-Time of Delayed Fractional-Order Fully Complex-Valued Dynamical Networks via Non-Separation Method

Kang

Yang

Jian

et al. 2022

Entropy

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The finite-time synchronization (FNTS) problem for a class of delayed fractional-order fully complex-valued dynamic networks (FFCDNs) with internal delay and non-delayed and delayed couplings is studied by directly constructing Lyapunov functions instead of decomposing the original complex-valued networks into two real-valued networks. Firstly, a mixed delay fractional-order mathematical model is established for the first time as fully complex-valued, where the outer coupling matrices of the model are not restricted to be identical, symmetric, or irreducible. Secondly, to overcome the limitation of the use range of a single controller, two delay-dependent controllers are designed based on the complex-valued quadratic norm and the norm composed of its real and imaginary parts’ absolute values, respectively, to improve the synchronization control efficiency. Besides, the relationships between the fractional order of the system, the fractional-order power law, and the settling time (ST) are analyzed. Finally, the feasibility and effectiveness of the control method designed in this paper are verified by numerical simulation.

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Secure synchronization of stochastic complex networks subject to deception attack with nonidentical nodes and internal disturbance

Cited by 30 publications

References 29 publications

Bipartite synchronization of multi‐agent systems under deception attacks via pinning delayed‐impulsive control

Bipartite synchronization of multi‐agent systems under deception attacks via pinning delayed‐impulsive control

Adaptive impulsive security consensus control of uncertain multi‐agent systems with randomly occurring nonlinearities

Synchronization in Finite-Time of Delayed Fractional-Order Fully Complex-Valued Dynamical Networks via Non-Separation Method

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