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Abstract
This paper considers two types of coupled reaction-diffusion complex-valued memristive neural networks (CRDCVMNNs). The nodes of the first type CRDCVMNN are coupled through their state and the second one is coupled by spatial diffusion coupling term. For the former, some novel criteria for the passivity and synchronization are derived by constructing an appropriate controller and utilizing some inequality techniques as well as Lyapunov functional method. For the latter, we establish some sufficient conditions which guarantee that this type of CRDCVMNNs can realize passivity and synchronization. Finally, the effectiveness and correctness of the acquired theoretical results are verified by two numerical examples.
Original language | English |
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Article number | 125271 |
Number of pages | 22 |
Journal | Applied Mathematics and Computation |
Volume | 379 |
Early online date | 13 Apr 2020 |
DOIs | |
Publication status | Published - 15 Aug 2020 |
Keywords
- state coupling
- spatial diffusion coupling,
- memristive neural networks
- synchronization
- passivity
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Dive into the research topics of 'Passivity and synchronization of coupled reaction-diffusion complex-valued memristive neural networks'. Together they form a unique fingerprint.Projects
- 1 Finished
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Intelligent Transferring System with Flexible and Cooperative Robots for Advanced Composite Manufacturing
Yang, E. (Principal Investigator), Bomphray, I. (Co-investigator), Huang, R. (Co-investigator), Rodden, T. (Co-investigator), Brady, S. (Co-investigator) & Zante, R. C. (Co-investigator)
1/09/19 → 31/03/20
Project: Research