Structural, dynamical and symbolic observability: From dynamical systems to networks

被引:37
|
作者
Aguirre, Luis A. [1 ]
Portes, Leonardo L. [1 ,2 ]
Letellier, Christophe [3 ]
机构
[1] Univ Fed Minas Gerais, Programa Posgrad Engn Eletr, Belo Horizonte, MG, Brazil
[2] Univ Western Australia, Sch Math & Stat, Perth, WA, Australia
[3] Normandie Univ CORIA, Campus Univ Madrillet, Madrillet, France
来源
PLOS ONE | 2018年 / 13卷 / 10期
关键词
COMPLEX NETWORKS; CONTROLLABILITY;
D O I
10.1371/journal.pone.0206180
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Classical definitions of observability classify a system as either being observable or not. Observability has been recognized as an important feature to study complex networks, and as for dynamical systems the focus has been on determining conditions for a network to be observable. About twenty years ago continuous measures of observability for nonlinear dynamical systems started to be used. In this paper various aspects of observability that are established for dynamical systems will be investigated in the context of networks. In particular it will be discussed in which ways simple networks can be ranked in terms of observability using continuous measures of such a property. Also it is pointed out that the analysis of the network topology is typically not sufficient for observability purposes, since both the dynamics and the coupling of such nodes play a vital role. Some of the main ideas are illustrated by means of numerical simulations.
引用
收藏
页数:21
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