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- W2151970086 abstract "In this letter, the delay-dependent state estimation problem for neural networks with time-varying delay is investigated. A delay-dependent criterion is established to estimate the neuron states through available output measurements such that the dynamics of the estimation error is globally exponentially stable. The proposed method is based on the free-weighting matrix approach and is applicable to the case that the derivative of a time-varying delay takes any value. An algorithm is presented to compute the state estimator. Finally, a numerical example is given to demonstrate the effectiveness of this approach and the improvement over existing ones." @default.
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- W2151970086 date "2006-07-01" @default.
- W2151970086 modified "2023-09-27" @default.
- W2151970086 title "Delay-Dependent State Estimation for Delayed Neural Networks" @default.
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- W2151970086 doi "https://doi.org/10.1109/tnn.2006.875969" @default.
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