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Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach

journal contribution
posted on 2017-12-06, 00:00 authored by Xian-Ming Zhang, Qing-Long Han
This paper is concerned with global asymptotic stability for a class of generalized neural networks with interval time-varying delays by constructing a new Lyapunov–Krasovskii functional which includes some integral terms in the form of ...

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

54

Start Page

57

End Page

69

Number of Pages

13

eISSN

1879-2782

ISSN

0893-6080

Location

UK

Publisher

Pergamon Press

Publisher DOI

Full Text URL

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

Era Eligible

  • Yes

Journal

Neural networks.

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    Categories

    Keywords

    Generalized neural networksGlobal asymptotic stabilityInterval time-varying delayIntegral inequalityMatrix-based quadratic convex approachCalculus of Variations, Systems Theory and Control Theory

    Licence

    CQUniversity General 1.0

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