论文信息 - Stability Analysis of Discrete-Time Cellular Neural Networks

Stability Analysis of Discrete-Time Cellular Neural Networks

Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison methods (not based on the well-known Liapunov methods). Finally, the simulating results demonstrate the validity and feasibility of our proposed approach.

Zhigang Zeng | De-Shuang Huang | Zengfu Wang

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