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New delay-dependent stability criteria for neural networks with two additive time-varying delay components

journal contribution
posted on 2017-12-06, 00:00 authored by Hanyong Shao, Qing-Long Han
This brief is concerned with delay-dependent stability for neural networks with two additive time-varying delay components. By constructing a new Lyapunov functional and using a convex polyhedron method to estimate the derivative of the Lyapunov functional, some new delay-dependent stability criteria are derived. These stability criteria are less conservative than some existing ones. An example is given to demonstrate the less conservatism of the stability results.

Funding

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

History

Volume

22

Issue

5

Start Page

812

End Page

818

Number of Pages

7

ISSN

1045-9227

Location

445 Hoes Lane / PO Box 1331, Piscataway, NJ 08855-1331, United States

Publisher

Institute of Electrical and Electronics Engineers Inc.

Language

en-aus

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Centre for Intelligent and Networked Systems (CINS); Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

  • Yes

Journal

IEEE transactions on neural networks.