Multi-rate sampled-data secure consensus of multi-agent systems subject to DoS attacks

被引:0
|
作者
Wang Y. [1 ]
Jia X.-C. [2 ]
You X. [1 ]
Lü T. [1 ]
机构
[1] School of Mathematical Sciences, Shanxi University, Shanxi, Taiyuan
[2] School of Automation and Software Engineering, Shanxi University, Shanxi, Taiyuan
来源
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2022年 / 39卷 / 10期
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
consensus control; denial-of-service (DoS) attacks; multi-agent systems (MASs); multi-rate sampling; secure control;
D O I
10.7641/CTA.2022.10985
中图分类号
学科分类号
摘要
This paper studies the secure consensus control problem for a class of linear multiagent systems (MASs) with a multi-rate sampling under denial-of-service (DoS) attacks, where DoS attacks usually prevent information transmission among agents. The results of the multi-rate sampling strategy in networked control systems are extended to MASs and a non-ideal communication network is considered in this paper. Firstly, a matching mechanism is introduced in order to synchronize the sampled data of different state components of agents caused by multi-rate sampling. Then, a multi-rate sampling based secure consensus controller is designed for linear MAS with a multi-rate sampling under DoS attacks. By using Lyapunov stability theory and switched system method, a sufficient condition with the DoS attack duration and frequency is obtained. Finally, a simulation example is presented to verify the effectiveness of the proposed method and exhibit the performance comparing analysis between the multi-rate sampling and the single-rate sampling mechanism. © 2022 South China University of Technology. All rights reserved.
引用
收藏
页码:1890 / 1897
页数:7
相关论文
共 21 条
  • [1] QIN J, MA Q, SHI Y, Recent advances in consensus of multiagent systems: A brief survey, IEEE Transactions on Industrial Electronics, 64, 6, pp. 4972-4983, (2017)
  • [2] XIE K, CHEN C, LEWIS F. L., Et al., Adaptive compensation for nonlinear time-varying multiagent systems with actuator failures and unknown control directions, IEEE Transactions on Cybernetics, 49, 5, pp. 1780-1790, (2019)
  • [3] PENG C, YUE D, FEI M R., A higher energy-efficient sampling scheme for networked control systems over IEEE 802.15.4 wireless networks, IEEE Transactions on Industrial Informatics, 12, 5, pp. 1766-1774, (2016)
  • [4] TIAN E, YUE D., Decentralized control of network-based interconnected systems: A state-dependent triggering method, International Journal of Robust and Nonlinear Control, 25, 8, pp. 1126-1144, (2015)
  • [5] GU Z, YUE D, TIAN E., On designing of an adaptive event-triggered communication scheme for nonlinear networked interconnected control systems, Information Sciences, 422, pp. 257-270, (2017)
  • [6] ZHAO X, ZONG Q, TIAN B, Et al., Integrated fault estimation and fault-tolerant tracking control for Lipschitz nonlinear multiagent systems, IEEE Transactions on Cybernetics, 50, 2, pp. 678-688, (2020)
  • [7] ZHANG W, TANG Y, HUANG T, Et al., Sampled-data consensus of linear multi-agent systems with packet losses, IEEE Transactions on Neural Networks and Learning Systems, 28, 11, pp. 2516-2527, (2017)
  • [8] LIU W, HUANG J., Leader-following consensus for linear multiagent systems via asynchronous sampled-data control, IEEE Transactions on Automatic Control, 65, 7, pp. 3215-3222, (2020)
  • [9] LI B, JIA X C, CHI X, Et al., Consensus for second-order multiagent systems under two types of sampling mechanisms: A time-varying gain observer method, IEEE Transactions on Cybernetics
  • [10] MA Weiwei, JIA Xinchun, ZHANG Dawei, Observer-based networked H∞ control for dualrate sampling systems, Acta Automatica Sinica, 41, 10, pp. 1788-1797, (2015)