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Convergence of Neutral Type Fuzzy Cellular Neural Networks with D Operator

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Abstract

A model of neutral type fuzzy cellular neural networks with D operator is proposed. Applying differential inequality techniques, several sufficient conditions are derived to ensure the global exponential convergence of 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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Acknowledgements

I am extremely grateful to the anonymous reviewer and the editor for their valuable comments and suggestions which have contributed considerably to the improved presentation of this paper. This work was supported by Natural Scientific Research Fund of Hunan Provincial of China (Grant Nos. 2015JJ5011, 2018JJ2372, 2018JJ2087), a Key Project Supported by Scientific Research Fund of Hunan Provincial Education Department (15A038) and Natural Scientific Research Fund of Hunan Provincial Education Department of China (Grant No. 17C1076).

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  1. School of Science, Hunan University of Technology, Zhuzhou, 412000, Hunan, People’s Republic of China

    Zhibin Chen

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Chen, Z. Convergence of Neutral Type Fuzzy Cellular Neural Networks with D Operator. Neural Process Lett 49, 1189–1199 (2019). https://doi.org/10.1007/s11063-018-9864-y

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