Extended Dissipative Analysis for Neural Networks With Time-Varying Delays

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∞, 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.
Funding Information
  • Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education (2013R1A1A2A10005201)

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