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- W2972266730 abstract "This article considers the synchronization control problem for a type of delayed neural networks (DNNs) with some structured uncertainty. The system is assumed to be modeled with stochastic missing data in it which may be caused by the packet dropout phenomenon. Based on Lyapunov functional method, by considering the properties of the stochastic variables, the systems can be seen as a type of switch system and the stabilization criterion is established by using switching techniques. The obtained criterion can guarantee the globally asymptotic stable of such systems with unreliable communication links. The criterion we obtained is in the form of Linear Matrix Inequalities (LMIs). Then we can solve the LMIs easily by using the MATLAB LMI Toolbox by giving parameters, and the gain of controller can be obtained. Finally, we employ two numerical examples in order to show the validation and effectiveness of our designed controller." @default.
- W2972266730 created "2019-09-12" @default.
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- W2972266730 date "2019-09-08" @default.
- W2972266730 modified "2023-09-23" @default.
- W2972266730 title "Synchronization Analysis of Delayed Neural Networks with Stochastic Missing Data" @default.
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- W2972266730 doi "https://doi.org/10.1007/978-981-32-9682-4_67" @default.
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