两种不同脉冲欺骗攻击下随机多智能体系统的均方拟一致性

doi:10.12052/gdutxb.210078

Abstract

Abstract: Considering the complexity of the environment and the openness of related communication networks, the problem of mean square quasi-consensus for a class of stochastic multi-agent systems under two different impulsive deception attacks is studied. The impulsive deception attacks considered here include replacement attack and false data injection attack, while the probabilities of attacks are described by introducing random variables that obey Bernoulli distribution. By employing the knowledge of stochastic process and Lyapunov stability theory, the sufficient conditions of quasi-consensus are given. The conditions show that the error of systems can be kept in a certain range under two different attacks. Finally, a numerical simulation is given to verify the effectiveness of the results.

Key words: multi-agent systems, random noise disturbances, replacement attacks, false data injection attacks, mean square quasi-consensus

CLC Number:

TP273

Zeng Zi-xian, Peng Shi-guo, Huang Yu-jia, Gu Zhi-hua, Feng Wan-dian. Mean Square Quasi-consensus of Stochastic Multi-agent Systems Under Two Different Impulsive Deception Attacks[J].Journal of Guangdong University of Technology, 2022, 39(01): 71-77.

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Mean Square Quasi-consensus of Stochastic Multi-agent Systems Under Two Different Impulsive Deception Attacks

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