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Stability analysis of recurrent neural networks : a Volterra integro-differential equation approach

conference contribution
posted on 2017-12-06, 00:00 authored by P Liu, Qing-Long Han
The stability of a special class of nonlinear Volterra integro-differential systems are analyzed by comparing them to linear Volterra integro-differential systems. The results are used to determine the stability properties of recurrent neural networks with distributed delays, including constant discrete delays as a special case. The obtained stability criteria have unified and extended many existing results on recurrent neural networks.

Funding

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

History

Start Page

5415

End Page

5420

Number of Pages

6

Start Date

2004-01-01

ISBN-10

0780386825

Location

Nassau, Bahamas

Publisher

Institute of Electrical and Electronics Engineers Inc.

Place of Publication

Piscataway, NJ, USA

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Faculty of Informatics and Communication;

Era Eligible

  • Yes

Name of Conference

IEEE Conference on Decision & Control

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    Keywords

    Expanding Knowledge in the Mathematical SciencesControl Systems, Robotics and Automation

    Licence

    CQUniversity General 1.0

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