引用本文:李丽,王夕娟.拒绝服务攻击下领导-跟随多智能体系统的均方一致性研究[J].控制与决策,2019,34(11):2317-2322
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拒绝服务攻击下领导-跟随多智能体系统的均方一致性研究
李丽,王夕娟
(燕山大学电气工程学院,河北秦皇岛066004)
摘要:
针对带有过程噪声和测量噪声的领导-跟随多智能体系统,研究拒绝服务攻击下多智能体系统的一致性问题.首先,设计基于卡尔曼滤波的状态观测器,对智能体状态进行有效准确的估计;然后,基于预测控制理论提出一种基于状态估计信息的分布式预测控制算法,从而实现领导-跟随多智能体系统的均方一致性控制,并给出拒绝服务攻击环境下实现领导-跟随多智能体系统均方一致性的充分必要条件;最后,通过数值仿真验证所提出方法的正确性和有效性.
关键词:  多智能体系统  拒绝服务攻击  卡尔曼滤波  预测控制  均方一致性  过程噪声  测量噪声
DOI:10.13195/j.kzyjc.2019.0588
分类号:TP273
基金项目:国家自然科学基金面上项目(61773334).
Mean square consensus for leader-following multi-agent systems under denial-of-service attacks
LI Li,WANG Xi-juan
(School of Electrical Engineering,Yanshan University,Qinhuangdao066004,China)
Abstract:
This paper addresses the mean square consensus problems for leader-following multi-agent systems under denial-of-service(DoS) attacks, process noise and measurement noise. Firstly, a state observer is presented to estimate the state of each agent effectively and accurately. Then, based on the predictive control theory, a distributed predictive control protocol based on the state estimation information of each agent is proposed for the leader-following multi-agent systems to achieve mean square consensus. Sufficient and necessary conditions of consensus for the leader-following multi-agent systems under DoS attacks are derived. Finally, a numerical example is provided to verify the correctness and effectiveness of the proposed methods.
Key words:  multi-agent systems  denial-of-service attacks  Kalman filtering  predictive control  mean square consensus  process noise  measurement noise

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