Stabilization of Second-Order Memristive Neural Networks With Mixed Time Delays via Nonreduced Order | IEEE Journals & Magazine | IEEE Xplore

Stabilization of Second-Order Memristive Neural Networks With Mixed Time Delays via Nonreduced Order


Abstract:

In this brief, we investigate a class of second-order memristive neural networks (SMNNs) with mixed time-varying delays. Based on nonsmooth analysis, the Lyapunov stabili...Show More

Abstract:

In this brief, we investigate a class of second-order memristive neural networks (SMNNs) with mixed time-varying delays. Based on nonsmooth analysis, the Lyapunov stability theory, and adaptive control theory, several new results ensuring global stabilization of the SMNNs are obtained. In addition, compared with the reduced-order method used in the existing research studies, we consider the global stabilization directly from the SMNNs themselves without the reduced-order method. Finally, we give some numerical simulations to show the effectiveness of the results.
Published in: IEEE Transactions on Neural Networks and Learning Systems ( Volume: 31, Issue: 2, February 2020)
Page(s): 700 - 706
Date of Publication: 01 May 2019

ISSN Information:

PubMed ID: 31056523

Funding Agency:


References

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