Stability Analysis of a Class of Fractional-order Neural Networks

In this paper, the problems of the existence and uniqueness of solutions and stability for a class of fractional-order neural networks are studied by using Banach fixed point principle and analysis technique, respectively. A sufficient condition is given to ensure the existence and uniqueness of sol...

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Main Authors: Zou, Tao (Author), Qu, Jianfeng (Author), Chen, Liping (Author), Chai, Yi (Author), Yang, Zhimin (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2014-02-01.
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001 ijeecs3104_1173
042 |a dc 
100 1 0 |a Zou, Tao  |e author 
100 1 0 |e contributor 
700 1 0 |a Qu, Jianfeng  |e author 
700 1 0 |a Chen, Liping  |e author 
700 1 0 |a Chai, Yi  |e author 
700 1 0 |a Yang, Zhimin  |e author 
245 0 0 |a Stability Analysis of a Class of Fractional-order Neural Networks 
260 |b Institute of Advanced Engineering and Science,   |c 2014-02-01. 
520 |a In this paper, the problems of the existence and uniqueness of solutions and stability for a class of fractional-order neural networks are studied by using Banach fixed point principle and analysis technique, respectively. A sufficient condition is given to ensure the existence and uniqueness of solutions and uniform stability of solutions for fractional-order neural networks with variable coefficients and multiple time delays. The obtained results improve and extend some previous works to some extent, and they are easy to check in practice. An illustrative example is presented to show the validity and application of the proposed results. DOI :http://dx.doi.org/10.11591/telkomnika.v12i2.4409 
540 |a Copyright (c) 2014 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a neural networks; stability; fractional-order; time-varying coefficients; delays 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 12, No 2: February 2014; 1086-1093 
786 0 |n 2502-4760 
786 0 |n 2502-4752 
786 0 |n 10.11591/ijeecs.v12.i2 
787 0 |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3104/1173 
856 4 1 |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3104/1173  |z Get fulltext