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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
Published on: May 25, 2019
Stability analysis of neural networks with interval time-varying delays
Yi-You Hou1, Teh-Lu Liao, Chang-Hua Lien
1Department of Engineering Science, National Cheng Kung University, Tainan 701, Taiwan.
Abstract:
The global exponential stability is investigated for neural networks with interval time-varying delays. Based on the Leibniz-Newton formula and linear matrix inequality technique, delay-dependent stability criteria are proposed to guarantee the exponential stability of neural networks with interval time-varying delays. Some numerical examples and comparisons are provided to show that the proposed results significantly improve the allowable upper and lower bounds of delays over some existing ones in the literature.
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