Existence and Global Exponential Stability of Periodic Solution for a Class of Neutral-Type Neural Networks with Time Delays
作者： Yurong Liu , Bo Du , Ahmed Alsaedi
DOI: 10.1007/S11063-016-9549-3
关键词:
摘要: This paper is concerned with the problems of existence and stability periodic solution for a class neutral-type neural networks. The network addressed general where time delays difference operator are taken into account. By employing Mawhin's continuation theorem, sufficient condition obtained to guarantee uniqueness constructing novel Lyapunov functional, unified framework established derive conditions system be globally exponentially stable. A numerical example provided demonstrate usefulness main results obtained.
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