Robustness Analysis of Fuzzy Cellular Neural Network With Deviating Argument and Stochastic Disturbances

Robustness analysis of fuzzy cellular neural networks with deviating arguments and stochastic disturbances is the main topic discussion in this paper. The issue at hand what upper bounds intervals for network can withstand before losing its stability. We solve these problems by using Gronwall-Bellman lemma some inequality techniques. theoretical results point that an exponentially stable network, perturbed still keep globally exponential stability if bound length or intensity less than derived A number numerical cases are offered to support availability conjectural values.