Extended Dissipative Analysis for Neural Networks With Time-Varying Delays

Title
Extended Dissipative Analysis for Neural Networks With Time-Varying Delays
Author(s)
박주현이태희M.J. Park[M.J. Park]O.M. Kwon[O.M. Kwon]S.M. Lee[S.M. Lee]
Keywords
STABILITY; SYSTEMS
Issue Date
201410
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.25, no.10, pp.1936 - 1941
Abstract
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 infinity, L-2-L-infinity, 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.
URI
http://hdl.handle.net/YU.REPOSITORY/30680http://dx.doi.org/10.1109/TNNLS.2013.2296514
ISSN
2162-237X
Appears in Collections:
공과대학 > 전기공학과 > Articles
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