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Passivity Analysis of Coupled Reaction-Diffusion Neural Networks With Dirichlet Boundary Conditions.
- Source :
- IEEE Transactions on Systems, Man & Cybernetics. Systems; Aug2017, Vol. 47 Issue 8, p2148-2159, 12p
- Publication Year :
- 2017
-
Abstract
- Two coupled reaction-diffusion neural networks (CRDNNs) with different dimensions of input and output are considered in this paper. The only difference between them is whether time-varying delay is incorporated in the mathematical model of network. We respectively analyze dissipativity and passivity of these CRDNNs. First, for the systems with different dimensions of input and output vectors, two new passivity definitions are proposed. Then, by exploiting some inequality techniques, several dissipativity and passivity criteria for these CRDNNs are established. Furthermore, we analyze stability of passive CRDNNs. Finally, two examples with simulation results are presented to verify the effectiveness of the proposed criteria. [ABSTRACT FROM PUBLISHER]
- Subjects :
- ARTIFICIAL neural networks
BOUNDARY value problems
MATHEMATICAL models
Subjects
Details
- Language :
- English
- ISSN :
- 21682216
- Volume :
- 47
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Systems, Man & Cybernetics. Systems
- Publication Type :
- Academic Journal
- Accession number :
- 124252382
- Full Text :
- https://doi.org/10.1109/TSMC.2016.2622363