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• W2063693845 abstract "The generalized H 2 state estimation problem for stochastic neural networks is considered int this paper. The delay-dependent design criterion is established such that the error system is asymptotical mean-square stable with a prescribed generalized H 2 performance. The gain matrix and the optimal performance index are obtained by solving a generalized eigenvalue problem. Numerical example is given to show the effectiveness of the proposed design methods." @default.
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• W2063693845 date "2014-09-01" @default.
• W2063693845 modified "2023-09-25" @default.
• W2063693845 title "Generalized H<inf>2</inf> State estimation of stochastic neural networks with time-varying delay" @default.
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• W2063693845 doi "https://doi.org/10.1109/sice.2014.6935256" @default.
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