Frequency domain resilient consensus of multi-agent systems under IMP-based and non IMP-based attacks

被引:5
作者
Ahmed, Zahoor [1 ,4 ]
Saeed, Muhammad Abid [1 ]
Jenabzadeh, Ahmadreza [1 ]
Xu, Xinli [2 ]
Zhang, Weidong [1 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automation, Shanghai 200240, Peoples R China
[2] Univ Shanghai Sci & Technol, Sch Mech Engn, Shanghai 200093, Peoples R China
[3] Hainan Univ, Sch Informat & Commun Engn, Haikou 570228, Hainan, Peoples R China
[4] Govt Coll Univ, Lahore 54000, Pakistan
基金
中国国家自然科学基金;
关键词
Multi -agent system; Consensus control; Continuous -time system; Attack; Frequency domain; NETWORKS; DELAYS; INPUT;
D O I
10.1016/j.automatica.2022.110582
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a frequency domain resilient consensus problem of time-delayed multi-agent systems (MASs) under attacks. An internal model principle-based attack, a kind of network attack, is firstly analyzed and modeled in frequency domain. Then, a Quasi-H infinity robust controller is designed for resilient consensus of the MAS with the help of an internal model controller. This scheme is different from the existing works in the sense that the attacker may inject an attacking signal on the node of an agent instead of a communication link. It is also novel because it can eliminate the impacts of attack without excluding compromised nodes and restricting the number of compromised nodes. The proposed control scheme is applied to a linear delayed MAS with single-input single-output agents and then transformed into multi-input and multi-output agents. An innovative approach is employed for the tuning of the proposed controller to track the performance of the MAS and its robustness. Some necessary and sufficient conditions are extracted using Pade ' approximation and graph theory to minimize the impacts of time delay and attacks simultaneously. The results are extended for resilient consensus of the MAS under non-internal model principle-based attack. The simulation results are presented to demonstrate the validity of the proposed control strategy. (c) 2022 Published by Elsevier Ltd.
引用
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页数:16
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