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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

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

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【作者】 曾梓贤; 彭世国; 黄昱嘉; 谷志华; 冯万典;

【Author】 Zeng Zi-xian;Peng Shi-guo;Huang Yu-jia;Gu Zhi-hua;Feng Wan-dian;School of Automation, Guangdong University of Technology;

【通讯作者】 彭世国;

【机构】 广东工业大学自动化学院;

【摘要】 考虑实际应用中多智能体系统所处环境的复杂性及相关通信网络的开放性,主要研究了一类随机多智能体系统在受到两种不同脉冲欺骗攻击情况下实现均方拟一致性问题。所考虑的两种脉冲欺骗攻击包括替代攻击和虚假数据注入攻击,而攻击发生的概率则是通过引入服从伯努利分布的随机变量加以描述。结合随机过程相关知识和李雅普诺夫稳定性理论,给出系统实现均方拟一致性充分条件。条件表明,系统在遭受两种不同攻击的情况下,误差能保持在一定的范围内。最后,数值仿真验证了结果的有效性。

【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.

【基金】 国家自然科学基金资助项目(61973092);广东省基础与应用基础研究基金资助项目(2019A1515012104)
  • 【文献出处】 广东工业大学学报 ,Journal of Guangdong University of Technology , 编辑部邮箱 ,2022年01期
  • 【分类号】TP309;TP13
  • 【下载频次】133
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