Mean-square bounded consensus of nonlinear multi-agent systems under deception attack.
Mean-square bounded consensus of nonlinear multi-agent systems under deception attack.
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DOI：
10.1016/j.isatra.2021.12.020
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发表时间：
2021-12
期刊：
影响因子：
7.3
通讯作者：
Li Li-Li;Yi Zhang;Qing Geng
中科院分区：
文献类型：
--
作者：
Li Li-Li;Yi Zhang;Qing Geng
研究了随机发生的欺骗攻击、过程和测量噪声下的非线性多智能体系统的均方有界一致性问题。考虑到被攻击者篡改的测量，提出了一种估计器来获得相对准确的状态估计，其中的增益是通过递归算法获得的。在此基础上，结合云计算系统设计了一种集中控制器。此外，从防御者的角度出发，在智能体一侧设计了一个检测器来检测当前执行器的输入是否被攻击。利用线性矩阵不等式，给出了系统达到均方有界一致的充分条件，并给出了上界。最后，通过两个仿真算例说明了该方法的有效性。
This paper researches mean-square bounded consensus for a nonlinear multi-agent system subjected to randomly occurring deception attack, process and measurement noises. Considering the measurement tampered by the attacker, an estimator is presented to obtain relative accurate state estimation, where the gain is acquired by a recursive algorithm. On this basis, a type of centralized controller is designed combined with cloud computing system. Moreover, from perspective of the defender, a detector is proposed at the side of agent to detect whether the current actuator input is attacked. Using linear matrix inequality, sufficient conditions are given for achieving mean-square bounded consensus and an upper boundary is derived. Finally, validity of the proposed method is illustrated via two simulation examples.