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Extended dissipative analysis for neural networks with time-varying delays

journal contribution
posted on 2014-10-01, 00:00 authored by T H Lee, M J Park, J H Park, O M Kwon, S M Lee
In this brief, an extended dissipativity analysis was conducted for a neural network with time-varying delays. The concept of the extended dissipativity can be used to solve for the H∞, L2 - L∞, passive, and dissipative performance by adjusting the weighting matrices in a new performance index. In addition, the activation function dividing method is modified by introducing a tuning parameter. Examples are provided to show the effectiveness and less conservatism of the proposed method.

History

Journal

IEEE Transactions on Neural Networks and Learning Systems

Volume

25

Issue

10

Pagination

1936 - 1941

ISSN

2162-237X

eISSN

2162-2388

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2014, IEEE