计算机科学
欺骗
控制器(灌溉)
多智能体系统
二部图
有界函数
控制理论(社会学)
转化(遗传学)
估计员
跟踪(教育)
国家(计算机科学)
分散系统
人工智能
控制(管理)
算法
理论计算机科学
数学
法学
统计
图形
数学分析
基因
生物
化学
生物化学
教育学
政治学
心理学
农学
作者
Xinjun Wang,Ye Cao,Ben Niu,Yongduan Song
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-09-01
卷期号:53 (9): 5984-5993
被引量:33
标识
DOI:10.1109/tcyb.2022.3225361
摘要
This article presents a novel adaptive bipartite consensus tracking strategy for multiagent systems (MASs) under sensor deception attacks. The fundamental design philosophy is to develop a hierarchical algorithm based on shortest route technology that recasts the bipartite consensus tracking problem for MASs into the tracking problem for a single agent and eliminates the need for any global information of the Laplacian matrix. As the sensors suffer from malicious deception attacks, the states cannot be measured accurately, we thus construct a novel dynamic estimator to estimate the actual states, which, together with a new coordinate transformation involving the attacked and estimated state variables, allows a distributed security control scheme to be developed, in which the singularity of the adaptive iterative process involved in existing works is completely avoided. Furthermore, the Nussbaum functions are included in the controller to account for the influence of the unknown control gains caused by sensor deception attacks. It is shown that the distributed consensus tracking errors converge to a small neighborhood of the origin, and all the signals in the closed-loop system remain bounded. Simulation on a forced damped pendulums (FDPs) is conducted to demonstrate and verify the effectiveness of the proposed strategy.
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