Extended dissipative analysis for neural networks with time-varying delays.

Lee, Tae H; Park, Myeong-Jin; Park, Ju H; Kwon, Oh-Min; Lee, Sang-Moon · IEEE Trans Neural Netw Learn Syst · 2014

basic_science · Level V

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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.

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