Non-fragile mixed passive and H∞ state estimation for singularly perturbed neural networks with semi-Markov jumping parameters

Journal of the Franklin Institute, pp. 6352-6369, 2020.

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Abstract:

For continuous-time semi-Markov jump neural networks with singularly perturbations, this work deals with the issue of mixed passive and H∞ non-fragile state estimation. In view of the multiple-time-scales phenomenon that the dynamic behavior of the neural networks may present, the neural networks are interpreted as singularly perturbed sy...More

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