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 journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1001-1007 |
Number of pages | 8 |
Journal / Publication | IEEE Transactions on Automatic Control |
Volume | 67 |
Issue number | 2 |
Online published | 23 Apr 2021 |
Publication status | Published - Feb 2022 |
Link(s)
Abstract
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
Citation Format(s)
Resilient Consensus of Higher-order Multi-agent Networks : An Attack-isolation-based Approach. / Zhao, Dan; Lv, Yuezu; Yu, Xinghuo; Wen, Guanghui; Chen, Guanrong.
In: IEEE Transactions on Automatic Control, Vol. 67, No. 2, 02.2022, p. 1001-1007.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review