Distributed Adaptive Sampled-Data Security Tracking Control for Uncertain Heterogeneous Multi-Agents Systems Under DoS Attacks

IF 5.3 2区 计算机科学 Q1 TELECOMMUNICATIONS
Ning Zhao;Michael Shi;Xudong Zhao;Guangdeng Zong;Huiyan Zhang
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引用次数: 0

Abstract

This paper addresses the issue of secure distributed consensus tracking control for uncertain heterogeneous multi-agent systems (MASs) under synchronous sampled communication and intermittent denial-of-service (DoS) attacks. Considering that DoS attacks intermittently block the sampled data signal, a new packet update sequence is established to describe the transmitted signal to the neighbor agents. By virtue of the leader’s dynamics, the sampled-data-based distributed observer is established to observe the leader’s information for all followers. Then, based on the estimated signals and employing neural network approximation approach, secure adaptive sampled-data control strategy is proposed to compensate for the effects of uncertainty and DoS attacks. By utilizing novel Lyapunov-Krasovskii approach, the consensus tracking errors are regulated in the neighborhood around the origin. Finally, a numerical example with the coupled pendulums is provided to substantiate the efficiency of the proposed approach to achieve tracking security performance.
DoS 攻击下不确定异构多代理系统的分布式自适应采样数据安全跟踪控制
本文探讨了在同步采样通信和间歇性拒绝服务(DoS)攻击下,不确定异构多代理系统(MAS)的安全分布式共识跟踪控制问题。考虑到 DoS 攻击会间歇性地阻断采样数据信号,因此需要建立一个新的数据包更新序列,以向相邻代理描述传输信号。利用领导者的动态性,建立基于采样数据的分布式观测器,为所有跟随者观测领导者的信息。然后,根据估计的信号并采用神经网络近似方法,提出安全的自适应采样数据控制策略,以补偿不确定性和 DoS 攻击的影响。通过利用新颖的 Lyapunov-Krasovskii 方法,在原点附近调节了共识跟踪误差。最后,提供了一个耦合摆的数值示例,以证实所提方法在实现跟踪安全性能方面的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Green Communications and Networking
IEEE Transactions on Green Communications and Networking Computer Science-Computer Networks and Communications
CiteScore
9.30
自引率
6.20%
发文量
181
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