Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.
basic_science · Level V
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- Record sourced from PubMed, PMID 31830608.
- Also identified by DOI 10.1016/j.neunet.2019.11.008.
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Abstract
This paper investigates the global exponential synchronization problem of delayed memristive neural networks (MNNs) with reaction-diffusion terms. First, by utilizing the pinning control technique, two novel kinds of control methods are introduced to achieve synchronization of delayed MNNs with reaction-diffusion terms. Then, with the help of inequality techniques, pinning control technique, the drive-response concept and Lyapunov functional method, two sufficient conditions are obtained in the form of algebraic inequalities, which can be used for ensuring the exponential synchronization of the proposed delayed MNNs with reaction-diffusion terms. Moreover, the obtained results based on algebraic inequality complement and improve the previously known results. Finally, two illustrative examples are given to support the effectiveness and validity of the obtained theoretical results.
Medical subject headings
- Neural Networks, Computer