Node selection and gain assignment in pinning control using genetic algorithm
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | IECON Proceedings (Industrial Electronics Conference) |
| Pages | 2354-2359 |
| Publication status | Published - 2012 |
Conference
| Title | 38th Annual Conference on IEEE Industrial Electronics Society (IECON 2012) |
|---|---|
| Place | Canada |
| City | Montreal |
| Period | 25 - 28 October 2012 |
Link(s)
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.
Citation Format(s)
Node selection and gain assignment in pinning control using genetic algorithm. / Yang, Cui-Li; Tang, Wallace Kit-Sang; Jia, Qiang.
IECON Proceedings (Industrial Electronics Conference). 2012. p. 2354-2359 6388704.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
