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The global exponential stability problem is considered for a class of impulsive neural networks with piecewise constant arguments in this paper. By employing the Banach fixed point theorem and the… Click to show full abstract
The global exponential stability problem is considered for a class of impulsive neural networks with piecewise constant arguments in this paper. By employing the Banach fixed point theorem and the Razumikhin-type technique, stability criterion is obtained for the existence, uniqueness and global exponential stability of the periodic solution. Typical numerical examples are given to illustrate the improvement in less conservatism of the results.
Keywords:
piecewise constant;
neural networks;
networks piecewise;
impulsive neural;
constant arguments;
stability
Journal Title: Neural Processing Letters
Year Published: 2017
Link to full text (if available)
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Journal Title: Neural Processing Letters
Year Published: 2017
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!