引用本文:赵栩杨,卜旭辉,余威,游东亚.拒绝服务攻击下的多输入多输出非线性系统无模型自适应控制[J].控制理论与应用,2022,39(2):373~382.[点击复制]
ZHAO Xu-yang,BU Xu-hui,YU Wei,YOU Dong-ya.Model free adaptive control for multiple input and multiple output nonlinear systems under denial-of-service attacks[J].Control Theory and Technology,2022,39(2):373~382.[点击复制]
拒绝服务攻击下的多输入多输出非线性系统无模型自适应控制
Model free adaptive control for multiple input and multiple output nonlinear systems under denial-of-service attacks
摘要点击 1445  全文点击 428  投稿时间：2021-03-15  修订日期：2021-11-24
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DOI编号  10.7641/CTA.2021.10210
  2022,39(2):373-382
中文关键词  无模型自适应控制  拒绝服务攻击  数据丢失  MIMO非线性系统
英文关键词  model free adaptive control  DoS attacks  packet loss  MIMO nonlinear system
基金项目  国家自然科学基金项目(61573130, U1804147), 河南省高校科技创新团队项目(20IRTSTHN019), 河南理工大学创新型科技团队项目(T2019–2, T2017–1), 河南省创新型科技团队项目(CXTD2016054)资助.
作者单位E-mail
赵栩杨 河南理工大学 1789610350@qq.com 
卜旭辉* 河南理工大学 buxuhui@gmail.cn 
余威 河南理工大学  
游东亚 河南理工大学  
中文摘要
      针对多输入多输出(MIMO)非线性离散时间系统, 研究系统遭受拒绝服务(DoS)攻击和随机发生数据包丢 失下的控制问题. 首先采用两个独立的伯努利分布对周期性DoS攻击和随机发生的数据包丢失进行建模. 其次结 合DoS攻击设计无模型自适应控制(MFAC)算法, 进而通过理论分析和数学推导证明所提算法的收敛性. 并且通过 结合先前时刻数据设计一种补偿算法对系统输出进行补偿, 从而抵消DoS攻击和随机丢包的影响, 减小系统超调 量, 加快收敛速度使系统可以更快的达到期望输出. 最后, 通过两个仿真实例验证了算法的有效性.
英文摘要
      This paper considers the control problem for multiple input and multiple output (MIMO) nonlinear discrete time systems against occurring periodic denial of service (DoS) attacks and random packet loss. Firstly, two independent Bernoulli distributions are applied to model the periodic DoS attacks and random packet loss. Then a model free adaptive control (MFAC) algorithm is designed based on the DoS attacks. Meanwhile, the convergence of the proposed algorithm is proved by theoretical analysis and mathematical derivation. Furthermore, a compensation algorithm is designed to compensate the system output by combining with the previous data to offset the impact of DoS attacks and random packet loss, reduce the system overshoot, accelerate the convergence rate, so that the system can achieve the desired output faster. Finally, the simulation results verify the effectiveness of the proposed algorithm.