Delay and DoS Resilient Consensus of Multi-Agent Systems: A Bit Rate Minimization Strategy

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-01-07 DOI:10.1109/TNSE.2024.3524616

Lulu Li;Huihui Zhang;Daniel W. C. Ho

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引用次数: 0

Abstract

This paper investigates the consensus issue of multi-agent systems under constrained data rates, time delays, and denial-of-service (DoS) attacks. We first introduce a periodically adjusted dynamic quantizer based on the equally distributed bit rate model, which can effectively avoid saturation and eliminate the quantization error over time, unlike the static quantizer. Then, we show that the quantizer in this paper is suitable for multi-agent systems with time delays, and we design a quantized controller that can realize the consensus in such systems. We also derive the sufficient bit rate condition for achieving consensus under time delays. Next, we extend our approach to handle multi-agent systems with both time delays and DoS attacks under the general energy-constrained DoS model. We provide the conditions on bit rate and average duration and frequency of DoS attacks that ensure system performance. Finally, we analyze the relationship between system performance, bit rate, time delays, and DoS attacks, and verify our results by numerical examples.

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.