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- W1539441108 abstract "This paper deals with H∞ state estimation problem of neural networks with discrete and distributed time-varying delays. A novel delay-dependent concept of H∞ state estimation is proposed to estimate the H∞ performance and global asymptotic stability of the concerned neural networks. By constructing the Lyapunov–Krasovskii functional and using the linear matrix inequality technique, sufficient conditions for delay-dependent H∞ performances are obtained, which can be easily solved by some standard numerical algorithms. Finally, numerical examples are given to illustrate the usefulness and effectiveness of the proposed theoretical results." @default.
- W1539441108 created "2016-06-24" @default.
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- W1539441108 date "2015-04-30" @default.
- W1539441108 modified "2023-09-23" @default.
- W1539441108 title "Augmented Lyapunov approach to H ∞ state estimation of static neural networks with discrete and distributed time-varying delays" @default.
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- W1539441108 doi "https://doi.org/10.1088/1674-1056/24/5/050201" @default.
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