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An event-based interaction method for consensus of multiple complex networks
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DOI：10.1016/j.jfranklin.2019.12.026.png)
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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. (c) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keyword:
RECURRENT NEURAL-NETWORKS
TIME-VARYING DELAY
EXPONENTIAL SYNCHRONIZATION
STABILITY ANALYSIS
SYSTEMS
CONVERGENCE
ALGORITHM
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J
IF:
3.7
论文数:
6.4K
被引数:
1.5W
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