Weighted Pseudo Anti‐Periodic Solutions for Cellular Neural Networks with Mixed Delays
Copyright policy )Weighted Pseudo Anti‐Periodic Solutions for Cellular Neural Networks with Mixed Delays
AbstractA 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.
- Hunan Women'S University China (People's Republic of)
- Hunan University of Arts and Science China (People's Republic of)
Asymptotic stability in control theory, weighted pseudo anti-periodic solution, exponential stability, cellular neural networks, Neural networks for/in biological studies, artificial life and related topics, mixed delay
Asymptotic stability in control theory, weighted pseudo anti-periodic solution, exponential stability, cellular neural networks, Neural networks for/in biological studies, artificial life and related topics, mixed delay
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