Stability and Existence of Anti-Periodic Solution for FCNNs With Time-Varying Delays and Impulsive Impacts
This paper deals with the problem of anti-periodic solution for fuzzy cellular neural networks (FCNNs) with time-varying delays and impulsive impacts. Utilizing Krasnoselski's fixed point theorem and contraction principle, developing some appropriate Lyapunov functional, some adequate condition...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8620499/ |
| Summary: | This paper deals with the problem of anti-periodic solution for fuzzy cellular neural networks (FCNNs) with time-varying delays and impulsive impacts. Utilizing Krasnoselski's fixed point theorem and contraction principle, developing some appropriate Lyapunov functional, some adequate conditions are set up for the global exponential stability and existence of anti-periodic solutions of FCNNs with time-varying delays and impulsive impacts. In addition, a model is exhibited to represent results setup. |
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| ISSN: | 2169-3536 |