Distributed finite-time estimation of the bounds on algebraic connectivity for directed graphs

被引:22
|
作者
Li, Chaoyong [1 ]
Qu, Zhihua [2 ]
Qi, Donglian [1 ]
Wang, Feng [3 ]
机构
[1] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Cent Florida, Dept Elect & Comp Engn, Orlando, FL 32816 USA
[3] Harbin Inst Technol, Res Ctr Satellite Technol, Harbin 150001, Heilongjiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Directed graph; Algebraic connectivity; Distributed estimation; Finite time consensus; DECENTRALIZED ESTIMATION; NONLINEAR-SYSTEMS; LAPLACIAN EIGENVALUES; CONSENSUS;
D O I
10.1016/j.automatica.2019.05.060
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper studied distributed estimation of the bounds on algebraic connectivity for a directed graph (i.e., digraph). As is well known, the main challenge of the underlying problem is how to enable local awareness of an entity otherwise prone to global information, in the presence of communication topology. More specifically, we introduce a novel state-dependent approach to estimate the bounds on algebraic connectivity with mild requirement on topology and communication effort. Compared with existing results, the proposed algorithm does not estimate eigenvalues or eigenvectors directly, rather it exploits their implications on the consensus procedure, and achieves a tradeoff between estimation accuracy and topological/communication requirement, and its convergence can be expected in a finite time. Simulation results verified the performance of the proposed strategy. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:289 / 295
页数:7
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