论文标题
在数据率约束和DOS攻击下量化共识：缩放和保持方法
Quantized Consensus under Data-Rate Constraints and DoS Attacks: A Zooming-In and Holding Approach
论文作者
论文摘要
本文涉及数据率约束和拒绝服务（DOS）攻击下不确定的非线性多机构系统的量化共识问题。用未知的非线性动力学和外部干扰以严格的反馈形式对代理进行建模。扩展的州观察者（ESO）被杠杆率估算了代理人的总不确定性及其州。为了减轻DOS攻击的效果，提出了一种新型的动态量化，并提出了缩放和保持功能的效果。这个想法是要缩放并保存如果系统不存在和存在DOS攻击，则将变量进行量化。控制协议是根据ESO的输出以及基于动态定量的编码器和解码器给出的。我们表明，对于连接的无向网络，开发的控制协议能够处理任何DOS攻击，从而诱导有限的连续数据包丢失，仅使用3级量化。还讨论了对已知线性多代理系统的缩放和保持方法的应用。
This paper is concerned with the quantized consensus problem for uncertain nonlinear multi-agent systems under data-rate constraints and Denial-of-Service (DoS) attacks. The agents are modeled in strict-feedback form with unknown nonlinear dynamics and external disturbance. Extended state observers (ESOs) are leveraged to estimate agents' total uncertainties along with their states. To mitigate the effects of DoS attacks, a novel dynamic quantization with zooming-in and holding capabilities is proposed. The idea is to zoom-in and hold the variable to be quantized if the system is in the absence and presence of DoS attacks, respectively. The control protocol is given in terms of the outputs of the ESOs and the dynamic-quantization-based encoders and decoders. We show that, for a connected undirected network, the developed control protocol is capable of handling any DoS attacks inducing bounded consecutive packet losses with merely 3-level quantization. The application of the zooming-in and holding approach to known linear multi-agent systems is also discussed.
