Abstract
We have considered a general form of non-autonomous cellular neural network with time varying delays in this paper. We have estimated the upper bound of solutions of the system by introducing different parameters and considered some conditions on it. We have derived the conditions of boundedness and global exponential stability of the model which is initially unstable for some parameter values using Young Inequality technique and Dini derivative. Several examples and their computer simulations are given to illustrate the effectiveness of obtained results.
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Chowdhury, M., Das, P. (2020). Global Exponential Stability of Non-autonomous Cellular Neural Network Model with Time Varying Delays. In: Roy, P., Cao, X., Li, XZ., Das, P., Deo, S. (eds) Mathematical Analysis and Applications in Modeling. ICMAAM 2018. Springer Proceedings in Mathematics & Statistics, vol 302. Springer, Singapore. https://doi.org/10.1007/978-981-15-0422-8_17
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DOI: https://doi.org/10.1007/978-981-15-0422-8_17
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