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In this paper, the global asymptotic stability is investigated for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays. The jumping parameters are modeled as a continuous-time, finite-state Markov chain. By employing the Lyapunov–Krasovskii functional and stochastic analysis theory as well as linear matrix inequality technique, some novel sufficient...
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