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Volume 13, Issue 1, 2020, Pages 1 - 11
Almost Automorphic Solutions to Cellular Neural Networks With Neutral Type Delays and Leakage Delays on Time Scales
Authors
Changjin Xu1, *, Maoxin Liao2, Peiluan Li3, Zixin Liu4
1Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang 550004, PR China
2School of Mathematics and Physics, University of South China, Hengyang 421001, PR China
3School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang 471023, PR China
4School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang 550004, PR China
*Corresponding author. Email: xcj403@126.com
Corresponding Author
Changjin Xu
Received 4 August 2019, Accepted 2 January 2020, Available Online 15 January 2020.
- DOI
- 10.2991/ijcis.d.200107.001How to use a DOI?
- Keywords
- Cellular neural networks; Almost automorphic solution; Exponential stability; Leakage delay; Neutral type delay
- Abstract
In this paper, cellular neural networks (CNNs) with neutral type delays and time-varying leakage delays are investigated. By applying the existence of the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem and the theory of calculus on time scales, a set of sufficient conditions which ensure the existence and exponential stability of almost automorphic solutions of the model are obtained. An example with its numerical simulations is given to support the theoretical findings.
- Copyright
- © 2020 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Changjin Xu AU - Maoxin Liao AU - Peiluan Li AU - Zixin Liu PY - 2020 DA - 2020/01/15 TI - Almost Automorphic Solutions to Cellular Neural Networks With Neutral Type Delays and Leakage Delays on Time Scales JO - International Journal of Computational Intelligence Systems SP - 1 EP - 11 VL - 13 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.200107.001 DO - 10.2991/ijcis.d.200107.001 ID - Xu2020 ER -