Analysis of global asymptotic stability and pseudo almost periodic solution of a class of chaotic neural networks
DOI: https://doi.org/10.3846/13926292.2013.840686Abstract
In this paper we give sufficient conditions ensuring the existence and uniqueness of pseudo almost periodic solution of a class of delayed chaotic neural networks. Further, we study the global asymptotic stability (GAS) of the considered model and give a set of criteria on (GAS) by constructing new Lyapunov functional.
Keywords:
almost periodic functions, mathematical model, neural networks, contraction mapping principle, delayHow to Cite
Cherif, F. (2013). Analysis of global asymptotic stability and pseudo almost periodic solution of a class of chaotic neural networks. Mathematical Modelling and Analysis, 18(4), 489-504. https://doi.org/10.3846/13926292.2013.840686
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Copyright (c) 2013 The Author(s). Published by Vilnius Gediminas Technical University.
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Published
2013-09-01
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Copyright
Copyright (c) 2013 The Author(s). Published by Vilnius Gediminas Technical University.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Cherif, F. (2013). Analysis of global asymptotic stability and pseudo almost periodic solution of a class of chaotic neural networks. Mathematical Modelling and Analysis, 18(4), 489-504. https://doi.org/10.3846/13926292.2013.840686