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• W2742569709 startingPage "2232" @default.
• W2742569709 abstract "This paper investigates the problem of sampled-data (SD) exponentially synchronization for a class of Markovian neural networks with time-varying delayed signals. Based on the tunable parameter and convex combination computational method, a new approach named flexible terminal approach is proposed to reduce the conservatism of delay-dependent synchronization criteria. The SD subject to stochastic sampling period is introduced to exhibit the general phenomena of reality. Novel exponential synchronization criterion are derived by utilizing uniform Lyapunov-Krasovskii functional and suitable integral inequality. Finally, numerical examples are provided to show the usefulness and advantages of the proposed design procedure." @default.
• W2742569709 created "2017-08-17" @default.
• W2742569709 date "2018-08-01" @default.
• W2742569709 modified "2023-09-26" @default.
• W2742569709 title "A Flexible Terminal Approach to Sampled-Data Exponentially Synchronization of Markovian Neural Networks With Time-Varying Delayed Signals" @default.
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• W2742569709 doi "https://doi.org/10.1109/tcyb.2017.2729581" @default.
• W2742569709 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28783655" @default.
• W2742569709 hasPublicationYear "2018" @default.
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