重放攻击下二阶多智能体系统的分布式安全一致性

Ling Wang, Zhihai Wu
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引用次数: 1

摘要

研究了二阶离散时间多智能体系统在重放攻击下的安全一致性问题。状态信息通过通信网络传输,每个代理都可能受到能够恶意重播从其邻居发送的状态信息的对手的攻击。针对重放攻击,提出了一种基于分布式模型预测控制的共识协议。推导了多智能体系统在重放攻击下实现安全共识的充分条件。通过数值算例说明了基于分布式模型预测控制的共识协议的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed Secure Consensus for Second-Order Multi-Agent Systems under Replay Attacks
This paper is concerned with secure consensus of second-order discrete-time multi-agent systems under replay attacks. State information is transmitted over a communication network and each agent may be attacked by an adversary who is able to replay the state information sent from its neighbors maliciously. A consensus protocol based on distributed model predictive control is developed in the presence of replay attacks. The sufficient conditions for multi-agent systems to achieve secure consensus under replay attacks is derived. The effectiveness of the consensus protocol based on distributed model predictive control is illustrated through numerical examples.
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