Resilient Consensus of Higher Order Multiagent Networks: An Attack Isolation-Based Approach

• 成果类型: Article
• 署名作者: Zhao, Dan; Lv, Yuezu; Yu, Xinghuo; Wen, Guanghui; Chen, Guanrong
• 署名单位: Southeast University - China; Southeast University - China; Royal Melbourne Institute of Technology (RMIT); City University of Hong Kong
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3075327
• 发表日期: 2022
• 页码: 1001-1007
• 关键词: Observers; Heuristic algorithms; Consensus algorithm; fault detection; Robustness; Network topology; Fault tolerant systems; Autonomous agent; distributed attack isolation (DAI); graph isolability; higher order multiagent network; resilient consensus

摘要

Current resilient consensus algorithms deal with multiagent 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 article, 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 the 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 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.