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• W2892634963 abstract "This paper is concerned with the reachable set estimation for Markovian jump neural networks with time-varying delay and bounded peak inputs. The objective is to find a description of a reachable set that is containing all reachable states starting from the origin. In the framework of Lyapunov-Krasovskii functional method, an appropriate Lyapunov-Krasovskii functional is constructed firstly. Then by using the Wirtinger-based integral inequality and the extended reciprocally convex matrix inequality, an ellipsoidal description of the reachable set for the considered neural networks is derived. Finally, a numerical example with simulation results is provided to verify the effectiveness of our results." @default.
• W2892634963 created "2018-10-05" @default.
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• W2892634963 date "2018-12-01" @default.
• W2892634963 modified "2023-09-29" @default.
• W2892634963 title "Reachable set estimation for Markovian jump neural networks with time-varying delay" @default.
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• W2892634963 doi "https://doi.org/10.1016/j.neunet.2018.09.011" @default.
• W2892634963 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30336327" @default.
• W2892634963 hasPublicationYear "2018" @default.
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