Journal
AUTOMATICA
Volume 56, Issue -, Pages 105-112Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2015.03.027
Keywords
Complex networks; Reaction-diffusion neural networks; Time-varying delay; Passivity; Synchronization
Funding
- National Natural Science Foundation of China [61403275, 61473011, 61421063]
- National Priorities Research Program (NPRP) from the Qatar National Research Fund (Qatar Foundation) [NPRP 4-1162-1-181]
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This paper proposes a complex delayed dynamical network consisting of N linearly and diffusively coupled identical reaction-diffusion neural networks. By utilizing some inequality techniques, a sufficient condition ensuring the output strict passivity is derived for the proposed network model. Then, we reveal the relationship between output strict passivity and synchronization of the proposed network model. Moreover, based on the obtained passivity result and the relationship between output strict passivity and synchronization, a criterion for synchronization is established. Finally, a numerical example is provided to illustrate the correctness and effectiveness of the proposed results. (C) 2015 Elsevier Ltd. All rights reserved.
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