Journal
ASIAN JOURNAL OF CONTROL
Volume 19, Issue 4, Pages 1557-1563Publisher
WILEY
DOI: 10.1002/asjc.1468
Keywords
Cellular neural networks; weighted pseudo anti-periodic solution; exponential stability; mixed delay
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Funding
- Natural Scientific Research Fund of Hunan Provincial of China [2016JJ6103, 2016JJ6104]
- Construction Program of the Key Discipline in Hunan University of Arts and Science-Applied Mathematics
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A model of cellular neural networks with mixed delays is proposed. Applying contraction mapping fixed point theorem and differential inequality technique, several sufficient conditions are derived to ensure the existence and exponential stability of weighted pseudo anti-periodic solutions for the proposed neural networks. Finally, a numerical simulation example is given to illustrate the effectiveness of the obtained results.
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