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This paper investigates the state estimation of fractional-order neural networks (FNNs) with time delay. This is the first to study the state estimation for delayed fractional-order nonlinear system. According to fractional-order Lyapunov direct approach together with linear matrix inequalities (LMIs), sufficient criteria are given to ensure the asymptotical stability of the estimation error system...
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