Extended Dissipative Analysis for Neural Networks With Time-Varying Delays
Tae-Hee Lee, Myeongjin Park, Ju H. Park, Oh-Min Kwon, Sangmoon Lee · IEEE Transactions on Neural Networks and Learning Systems · 2014
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.