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• W4386821502 abstract "This paper is concerned with <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$H_{infty}$</tex> performance state estimation of static neural networks with a time-varying delay. First, a PI estimator with exponential term is used to estimate neuron states based on output measurement. Second, an augmented Lyapunov-Krasovskii functional (LKF) containing delay-product-type non-integral terms and single integral terms is constructed by introducing negative definite terms. After that, a criterion with less conservatism is derived based on extended reciprocally convex matrix inequality. Finally, a numerical example is provided to reveal the effectiveness of the proposed approach." @default.
• W4386821502 created "2023-09-19" @default.
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• W4386821502 date "2023-07-24" @default.
• W4386821502 modified "2023-10-14" @default.
• W4386821502 title "H_∞ State Estimation for Time-Delayed Static Neural Networks Using an Improved Delay-Product-Type LKF" @default.
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• W4386821502 doi "https://doi.org/10.23919/ccc58697.2023.10240234" @default.
• W4386821502 hasPublicationYear "2023" @default.
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