Literature DB >> 28115612

Controllability of networked higher-dimensional systems with one-dimensional communication.

Lin Wang1,2, Xiaofan Wang3,2, Guanrong Chen4.   

Abstract

In this paper, the state controllability of networked higher-dimensional linear time-invariant dynamical systems is considered, where communications are performed through one-dimensional connections. The influences on the controllability of such a networked system are investigated, which come from a combination of network topology, node-system dynamics, external control inputs and inner interactions. Particularly, necessary and sufficient conditions are presented for the controllability of the network with a general topology, as well as for some special settings such as cycles and chains, which show that the observability of the node system is necessary in general and the controllability of the node system is necessary for chains but not necessary for cycles. Moreover, two examples are constructed to illustrate that uncontrollable node systems can be assembled to a controllable networked system, while controllable node systems may lead to uncontrollable systems even for the cycle topology.This article is part of the themed issue 'Horizons of cybernetical physics'.
© 2017 The Author(s).

Keywords:  controllability; directed; networked system; one-dimensional communication

Year:  2017        PMID: 28115612      PMCID: PMC5311435          DOI: 10.1098/rsta.2016.0215

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  7 in total

1.  Optimizing controllability of complex networks by minimum structural perturbations.

Authors:  Wen-Xu Wang; Xuan Ni; Ying-Cheng Lai; Celso Grebogi
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-02-22

2.  CANONICAL STRUCTURE OF LINEAR DYNAMICAL SYSTEMS.

Authors:  R E Kalman
Journal:  Proc Natl Acad Sci U S A       Date:  1962-04       Impact factor: 11.205

3.  Controllability of complex networks.

Authors:  Yang-Yu Liu; Jean-Jacques Slotine; Albert-László Barabási
Journal:  Nature       Date:  2011-05-12       Impact factor: 49.962

4.  Network controllability is determined by the density of low in-degree and out-degree nodes.

Authors:  Giulia Menichetti; Luca Dall'Asta; Ginestra Bianconi
Journal:  Phys Rev Lett       Date:  2014-08-13       Impact factor: 9.161

5.  Control profiles of complex networks.

Authors:  Justin Ruths; Derek Ruths
Journal:  Science       Date:  2014-03-21       Impact factor: 47.728

6.  Nodal dynamics, not degree distributions, determine the structural controllability of complex networks.

Authors:  Noah J Cowan; Erick J Chastain; Daril A Vilhena; James S Freudenberg; Carl T Bergstrom
Journal:  PLoS One       Date:  2012-06-22       Impact factor: 3.240

7.  Target control of complex networks.

Authors:  Jianxi Gao; Yang-Yu Liu; Raissa M D'Souza; Albert-László Barabási
Journal:  Nat Commun       Date:  2014-11-12       Impact factor: 14.919

  7 in total
  2 in total

1.  Horizons of cybernetical physics.

Authors:  Alexander L Fradkov
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2017-03-06       Impact factor: 4.226

2.  Enhancing Controllability Robustness of q-Snapback Networks through Redirecting Edges.

Authors:  Yang Lou; Lin Wang; Guanrong Chen
Journal:  Research (Wash D C)       Date:  2019-08-04
  2 in total

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