New Results on Convergence of CNNs with Neutral Type Proportional Delays and D Operator
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Based on differential inequality technique, we show that all solutions of a class of cellular neural networks with neutral type proportional delays and D operator converge exponentially to zero vector. In particular, we obtain the convergence rate estimation for global exponential stability of the addressed system. We also give two simulations examples to verify our theoretical findings.
KeywordsGlobal exponential convergence Cellular neural network D operator Neutral type proportional delay
Mathematics Subject Classification92C42 93D20 94D05 65L20
The authors would like to thank the anonymous referees and the editor for very helpful suggestions and comments which led to improvements of our original paper. This work was supported by Natural Scientific Research Fund of Hunan Provincial of China (Grant Nos. 2018JJ2372, 2018JJ2087), and Natural Scientific Research Fund of Hunan Provincial Education Department of China (Grant No. 17C1076).
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Conflict of interest
Authors declare that they have no conflict of interest.