Node selection and gain assignment in pinning control using genetic algorithm

Cui-Li Yang; Wallace Kit-Sang Tang; Qiang Jia

doi:10.1109/IECON.2012.6388704

Node selection and gain assignment in pinning control using genetic algorithm

Cui-Li Yang
, Wallace Kit-Sang Tang
, Qiang Jia

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

5 Citations (Scopus)

Abstract

In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony capability of the entire network. Simulation results verify the effectiveness of this method, and it is concluded that the proposed approach can outperform some other evolutionary algorithms and the conventional node selection approaches. © 2012 IEEE.

Original language	English
Title of host publication	IECON Proceedings (Industrial Electronics Conference)
Pages	2354-2359
DOIs	https://doi.org/10.1109/IECON.2012.6388704
Publication status	Published - 2012
Event	38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012) - Montreal, Canada Duration: 25 Oct 2012 → 28 Oct 2012

Conference

Conference	38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012)
Abbreviated title	IEEE-IECON2012
Place	Canada
City	Montreal
Period	25/10/12 → 28/10/12

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title = "Node selection and gain assignment in pinning control using genetic algorithm",

abstract = "In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony capability of the entire network. Simulation results verify the effectiveness of this method, and it is concluded that the proposed approach can outperform some other evolutionary algorithms and the conventional node selection approaches. {\textcopyright} 2012 IEEE.",

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AU - Yang, Cui-Li

AU - Tang, Wallace Kit-Sang

AU - Jia, Qiang

PY - 2012

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N2 - In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony capability of the entire network. Simulation results verify the effectiveness of this method, and it is concluded that the proposed approach can outperform some other evolutionary algorithms and the conventional node selection approaches. © 2012 IEEE.

AB - In this paper, a genetic algorithm (GA) is proposed to tackle with the constrained pinning control problem in complex networks. Based on a hierarchical chromosome structure, it is demonstrated that suitable pinned nodes can be selected with appropriate control gains, resulting in a better synchrony capability of the entire network. Simulation results verify the effectiveness of this method, and it is concluded that the proposed approach can outperform some other evolutionary algorithms and the conventional node selection approaches. © 2012 IEEE.

UR - https://www.scopus.com/pages/publications/84872896471

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84872896471&origin=recordpage

U2 - 10.1109/IECON.2012.6388704

DO - 10.1109/IECON.2012.6388704

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781467324212

SP - 2354

EP - 2359

BT - IECON Proceedings (Industrial Electronics Conference)

T2 - 38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012)

Y2 - 25 October 2012 through 28 October 2012

ER -

Node selection and gain assignment in pinning control using genetic algorithm

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