Resilient Consensus Control for Multi-Agent Systems: A Comparative Survey

Abstract

Due to the openness of communication network and the complexity of system structures, multi-agent systems are vulnerable to malicious network attacks, which can cause intense instability to these systems. This article provides a survey of state-of-the-art results of network attacks on multi-agent systems. Recent advances on three types of attacks, i.e., those on DoS attacks, spoofing attacks and Byzantine attacks, the three main network attacks, are reviewed. Their attack mechanisms are introduced, and the attack model and the resilient consensus control structure are discussed, respectively, in detail, in terms of the theoretical innovation, the critical limitations and the change of the application. Moreover, some of the existing results along this line are given in a tutorial-like fashion. In the end, some challenges and open issues are indicated to guide future development directions of the resilient consensus of multi-agent system under network attacks.

Secure dynamic event-triggering control for consensus under asynchronous denial of service

“…The intuition behind this survey is the increased attack surface of MASs due to network-enabled information sharing as a consequence of expanded connectivity in practical scenarios. Along a similar path, Wang et al (2023) targets surveying recent literature on resilient consensus control for MASs. Please refer to this work for a complete treatment of state-of-theart concerning DoS attacks, spoofing attacks and Byzantine attacks in MASs, where attack model and mechanisms are introduced together with associated resilient consensus control structure.…”

A Robustness Analysis to Structured Channel Tampering Over Secure-by-Design Consensus Networks

“…2(a)-2(b)). Indeed, despite this choice allows to mitigate the malicious effects of δ θ 1 , the additional perturbations on edges (3,5) and (4,6) are capable of disrupting the network state convergence towards u 1 as t → +∞ because K = K 1 does not match condition (13). Instead, Figs.…”

“…Indeed, the attack signals can even disrupt the control performance of the group of agents through the communication topology. Therefore, resilient solutions are required to ensure that MASs fulfill consensus under security hazards [4]. Consequently, the secure control of MASs is now a crucial issue to be investigated [5], [6], [7].…”

Review on microgrids design and monitoring approaches for sustainable green energy networks

“…The architecture relies on decentralized, every DG regional controllers Phase regulation, optimal functioning of DGs, and enhanced MG behavior as well as reliability Introduction to multi-agent system (MAS) To achieve the MG monitoring objectives, a multi-agent system (MAS) involving a group of autonomous agents can be employed 147,148 . Agents are distinguished in terms of MG security, control efficiency, and economic functioning by their independence, societal interactivity, responsiveness, and identity 149,150 . A decentralized MAS method may more easily share data and coordinate operations by dividing a vast power grid into smaller, more manageable components.…”