...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Cybernetics, IEEE Transactions on >Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks
【24h】

Event-Triggered Consensus Control for Multi-Agent Systems Against False Data-Injection Attacks

机译：针对假数据注入攻击的多智能体系的事件触发的共识控制

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this article, the event-triggered security consensus problem is studied for time-varying multiagent systems (MASs) against false data-injection attacks (FDIAs) and parameter uncertainties over a given finite horizon. In the process of information transmission, the malicious attacker tries to inject false signals to destroy consensus by compromising the integrity of measurements and control signals. The randomly occurring stealthy FDIAs on sensors and actuators are modeled by the Bernoulli processes. In order to reduce the unnecessary utilization of communication resources, an event-triggered control mechanism with state-dependent threshold is adopted to update the control input signal. The main objective of this article is to design a controller such that, under randomly occurring FDIAs and admissible parameter uncertainties, the MASs achieve consensus. By utilizing stochastic analysis method, two sufficient criteria are derived to ensure that the prescribed $H_{infty }$ consensus performance can be achieved. Then, the desired controller gains are derived by solving recursive linear matrix inequalities. Simulation results are presented to illustrate the effectiveness and applicability of the proposed control method.
机译：在本文中，研究了对针对假数据注入攻击（FDIAS）的时变的多验系统（质量）和给定的有限范围内的参数不确定性的时变的多态系统（质量）研究了事件触发的安全共识问题。在信息传输过程中，恶意攻击者试图通过损害测量和控制信号的完整性来注入错误信号来销毁共识。传感器和执行器上随机发生的隐身FDIA由Bernoulli进程建模。为了降低通信资源的不必要的利用，采用具有状态相关阈值的事件触发的控制机制来更新控制输入信号。本文的主要目标是设计一个控制器，使得在随机发生的FDIAS和可接受的参数不确定性下，群众实现共识。通过利用随机分析方法，推导出了两个充足的标准，以确保规定的$ H _ { infty}美元达成共识性能。然后，通过求解递归线性矩阵不等式来导出所需的控制器增益。提出了仿真结果以说明所提出的控制方法的有效性和适用性。

著录项

  • 来源
    《Cybernetics, IEEE Transactions on》 |2020年第5期|1856-1866|共11页
  • 作者

    Li Xiao-Meng; Zhou Qi; Li Panshuo; Li Hongyi; Lu Renquan;

  • 作者单位

    Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China;

    Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China|Bohai Univ Coll Informat Sci & Technol Jinzhou 121013 Peoples R China;

    Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China;

    Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China|Bohai Univ Coll Informat Sci & Technol Jinzhou 121013 Peoples R China;

    Guangdong Univ Technol Guangdong Prov Key Lab Intelligent Decis & Cooper Guangzhou 510006 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Event-triggered mechanism; false data-injection attacks (FDIAs); multiagent systems (MASs);

    机译：事件触发机制;假数据注入攻击（FDIAS）;多态系统（质量）;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号