학술논문
Global Exponential Synchronization of Delayed Fuzzy Neural Networks With Reaction Diffusions
Document Type
Periodical
Source
IEEE Transactions on Fuzzy Systems IEEE Trans. Fuzzy Syst. Fuzzy Systems, IEEE Transactions on. 31(8):2809-2820 Aug, 2023
Subject
Language
ISSN
1063-6706
1941-0034
1941-0034
Abstract
This article is concerned with global exponential synchronization of delayed fuzzy neural networks with reaction diffusions (RDFNNs). By adopting analytic method and some inequality techniques, a global exponential synchronization criterion in terms of $p$-norm ($p\geq 2$) is obtained for the RDFNNs via adaptive intermittent control. One numerical example is provided to demonstrate the validity of the proposed outcomes. Two other examples are given to show the applications in image encryption and pseudorandom number generation, respectively.