Literature DB >> 23003312

Controlling complex networks: how much energy is needed?

Gang Yan1, Jie Ren, Ying-Cheng Lai, Choy-Heng Lai, Baowen Li.   

Abstract

The outstanding problem of controlling complex networks is relevant to many areas of science and engineering, and has the potential to generate technological breakthroughs as well. We address the physically important issue of the energy required for achieving control by deriving and validating scaling laws for the lower and upper energy bounds. These bounds represent a reasonable estimate of the energy cost associated with control, and provide a step forward from the current research on controllability toward ultimate control of complex networked dynamical systems.

Year:  2012        PMID: 23003312     DOI: 10.1103/PhysRevLett.108.218703

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  45 in total

1.  Input graph: the hidden geometry in controlling complex networks.

Authors:  Xizhe Zhang; Tianyang Lv; Yuanyuan Pu
Journal:  Sci Rep       Date:  2016-11-30       Impact factor: 4.379

2.  On the effects of memory and topology on the controllability of complex dynamical networks.

Authors:  Panagiotis Kyriakis; Sérgio Pequito; Paul Bogdan
Journal:  Sci Rep       Date:  2020-10-15       Impact factor: 4.379

3.  Prevalence and scalable control of localized networks.

Authors:  Chao Duan; Takashi Nishikawa; Adilson E Motter
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-05       Impact factor: 12.779

4.  How to suppress undesired synchronization.

Authors:  V H P Louzada; N A M Araújo; J S Andrade; H J Herrmann
Journal:  Sci Rep       Date:  2012-09-17       Impact factor: 4.379

5.  Effect of correlations on network controllability.

Authors:  Márton Pósfai; Yang-Yu Liu; Jean-Jacques Slotine; Albert-László Barabási
Journal:  Sci Rep       Date:  2013-01-15       Impact factor: 4.379

6.  Intrinsic dynamics induce global symmetry in network controllability.

Authors:  Chen Zhao; Wen-Xu Wang; Yang-Yu Liu; Jean-Jacques Slotine
Journal:  Sci Rep       Date:  2015-02-12       Impact factor: 4.379

7.  Enhancing speed of pinning synchronizability: low-degree nodes with high feedback gains.

Authors:  Ming-Yang Zhou; Zhao Zhuo; Hao Liao; Zhong-Qian Fu; Shi-Min Cai
Journal:  Sci Rep       Date:  2015-12-02       Impact factor: 4.379

8.  Structural controllability and controlling centrality of temporal networks.

Authors:  Yujian Pan; Xiang Li
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

Review 9.  Caenorhabditis elegans and the network control framework-FAQs.

Authors:  Emma K Towlson; Petra E Vértes; Gang Yan; Yee Lian Chew; Denise S Walker; William R Schafer; Albert-László Barabási
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-10       Impact factor: 6.237

10.  Control capacity and a random sampling method in exploring controllability of complex networks.

Authors:  Tao Jia; Albert-László Barabási
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.