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In this paper, the state estimation problem is investigated for a new class of discrete-time delayed neural networks with fractional uncertainties and sensor saturations. The activation functions are described by the sector-like nonlinearities that are more general than the commonly used Lipschitz ones. The purpose of the addressed problem is to design a state estimator to estimate the network states...
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