On Necessary and Sufficient Conditions for Exponential Consensus in Dynamic Networks via Uniform Complete Observability Theory

• 成果类型: Article
• 署名作者: Ma, Qichao; Qin, Jiahu; Yu, Xinghuo; Wang, Long
• 署名单位: Chinese Academy of Sciences; University of Science & Technology of China, CAS; Royal Melbourne Institute of Technology (RMIT); Peking University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3046606
• 发表日期: 2021
• 页码: 4975-4981
• 关键词: Continuously time-varying networks; exponential consensus; Linear systems; uniform complete observability (UCO)

摘要

In this article, we deal with the consensus problem of multiple partial-state coupled linear systems, which are neutrally stable. These systems communicate over dynamic undirected networks, which change continuously and can be disconnected at any time. We develop an analysis framework from uniform complete observability theory to work out the necessary and sufficient conditions for exponential consensus. It turns out that, with a suitably designed feedback matrix, exponential consensus can be realized globally and uniformly if and only if a jointly (delta, T)-connected condition and an observability condition relying only on system and input matrices are satisfied. A lower bound of the convergence rate is also provided. We figure out the proof by applying matrix analysis and linear functional analysis. A simulation example is presented to illustrate our theoretical findings.