Resilient Consensus of Higher-order Multi-agent Networks : An Attack-isolation-based Approach

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)1001-1007
Number of pages8
Journal / PublicationIEEE Transactions on Automatic Control
Issue number2
Online published23 Apr 2021
Publication statusPublished - Feb 2022


Current resilient consensus algorithms deal with multi-agent networks with lower-order nodal dynamics where each agent excludes certain extreme values from its neighbors. This does not scale well in general networks. In this paper, a new type of resilient consensus algorithm based on distributed attack isolation (DAI-RC) is proposed for general higher-order networks. In the DAI-RC algorithm, the evolution of each normal agent can avoid influence from those neighbors which are isolated as victims of attack. To characterize a feasible communication topology to isolate attacked agents, a notion of graph isolability that captures attack isolability is proposed, based on which a sufficient condition to isolate the attacked agents is presented. Simulations are finally provided to illustrate the effectiveness of the proposed algorithm.

Research Area(s)

  • Autonomous agent, Consensus algorithm, distributed attack isolation, Fault detection, Fault tolerant systems, graph isolability, Heuristic algorithms, higher-order multi-agent network, Network topology, Observers, resilient consensus, Robustness