An event-based interaction method for consensus of multiple complex networks
A consensus criterion for multiple complex networks is proposed in the paper. Based on event-triggered samplers, a projection is employed to select communication instant for various complex systems with the same natural attributes, with that the transmission of information between networks is synchr...
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Veröffentlicht in: | Journal of the Franklin Institute 2020-12, Vol.357 (18), p.1 |
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creator | Que, Haoyi Fang, Mei Xu, Zhaowen Su, Hongye Huang, Tingwen Sun, Pei |
description | A consensus criterion for multiple complex networks is proposed in the paper. Based on event-triggered samplers, a projection is employed to select communication instant for various complex systems with the same natural attributes, with that the transmission of information between networks is synchronous. To reduce redundant data in sampling, by utilizing the generalized free-weighting matrix approach, the expression form of consensus criterion for multiple networks is simplified. Available information could be fully utilized, and the advantages of self-triggered scheme are retained. A numerical example of multiple unmanned aerial vehicles is offered to show effectiveness. |
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Based on event-triggered samplers, a projection is employed to select communication instant for various complex systems with the same natural attributes, with that the transmission of information between networks is synchronous. To reduce redundant data in sampling, by utilizing the generalized free-weighting matrix approach, the expression form of consensus criterion for multiple networks is simplified. Available information could be fully utilized, and the advantages of self-triggered scheme are retained. A numerical example of multiple unmanned aerial vehicles is offered to show effectiveness.</abstract><cop>Elmsford</cop><pub>Elsevier Science Ltd</pub></addata></record> |
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subjects | Complex systems Criteria Mathematical models Matrix Networks Neural networks Samplers Unmanned aerial vehicles |
title | An event-based interaction method for consensus of multiple complex networks |
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