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• W2078913636 abstract "How to filter noises in the noisy gene networks by systematic control strategies and biological techniques are attractive issues to engineers and biologists. However, the internal states of most biological systems might not be directly accessible. One may only estimate the internal unmeasurable states from the measuring output. At present, the green fluorescent protein (GFP), which is a reporter protein, has been used to reflect the reaction's intensity of the gene networks. Here, a robust estimator for state estimation of a class of noisy nonlinear gene networks with uncertain process noise is presented. Quantitative analysis of the estimation performance and stability is conducted. In silico simulations for a real gene network is given to confirm the proposed method." @default.
• W2078913636 created "2016-06-24" @default.
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• W2078913636 date "2011-01-01" @default.
• W2078913636 modified "2023-09-27" @default.
• W2078913636 title "Stability Analysis for State Estimation of Noisy Gene Networks" @default.
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• W2078913636 doi "https://doi.org/10.3182/20110828-6-it-1002.03502" @default.
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