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• W2012195114 abstract "In this paper, a class of uncertain neural networks with discrete interval and distributed time-varying delays and Markovian jumping parameters (MJPs) are carried out. The Markovian jumping parameters are modeled as a continuous-time, finite-state Markov chain. By using the Lyapunov–Krasovskii functionals (LKFs) and linear matrix inequality technique, some new delay-dependent criteria is derived to guarantee the mean-square asymptotic stability of the equilibrium point. Numerical simulations are given to demonstrate the effectiveness of the proposed method. The results are also compared with the existing results to show the less conservativeness." @default.
• W2012195114 created "2016-06-24" @default.
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• W2012195114 date "2015-06-01" @default.
• W2012195114 modified "2023-09-26" @default.
• W2012195114 title "Delay-dependent stability criteria of uncertain Markovian jump neural networks with discrete interval and distributed time-varying delays" @default.
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• W2012195114 doi "https://doi.org/10.1016/j.neucom.2015.01.056" @default.
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