Matches in SemOpenAlex for { <https://semopenalex.org/work/W2951148417> ?p ?o ?g. }
- W2951148417 endingPage "1756" @default.
- W2951148417 startingPage "1742" @default.
- W2951148417 abstract "This paper investigates the global asymptotic stability problem for a class of neutral-type complex-valued neural networks with random time-varying delays. By introducing a stochastic variable with Bernoulli distribution, the information of time-varying delay is assumed to be random time-varying delays. By constructing an appropriate Lyapunov–Krasovskii functional and employing inequality technique, several sufficient conditions are obtained to ensure the global asymptotically stability of equilibrium point for the considered neural networks. The obtained stability criterion is expressed in terms of complex-valued linear matrix inequalities, which can be simply solved by effective YALMIP toolbox in MATLAB. Finally, three numerical examples are given to demonstrate the efficiency of the proposed main results." @default.
- W2951148417 created "2019-06-27" @default.
- W2951148417 creator A5086901177 @default.
- W2951148417 creator A5087681302 @default.
- W2951148417 date "2019-06-10" @default.
- W2951148417 modified "2023-10-10" @default.
- W2951148417 title "Global asymptotic stability analysis for neutral-type complex-valued neural networks with random time-varying delays" @default.
- W2951148417 cites W1005990303 @default.
- W2951148417 cites W1132984129 @default.
- W2951148417 cites W1585539754 @default.
- W2951148417 cites W1873250141 @default.
- W2951148417 cites W1978524241 @default.
- W2951148417 cites W2000273379 @default.
- W2951148417 cites W2000316378 @default.
- W2951148417 cites W2016562720 @default.
- W2951148417 cites W2022179417 @default.
- W2951148417 cites W2024731461 @default.
- W2951148417 cites W2025808664 @default.
- W2951148417 cites W2038428280 @default.
- W2951148417 cites W2041100506 @default.
- W2951148417 cites W2046285653 @default.
- W2951148417 cites W2046311940 @default.
- W2951148417 cites W2047063224 @default.
- W2951148417 cites W2048511039 @default.
- W2951148417 cites W2051137709 @default.
- W2951148417 cites W2052040422 @default.
- W2951148417 cites W2054312097 @default.
- W2951148417 cites W2072338133 @default.
- W2951148417 cites W2078365491 @default.
- W2951148417 cites W2097279547 @default.
- W2951148417 cites W2126944419 @default.
- W2951148417 cites W2140456054 @default.
- W2951148417 cites W2157077261 @default.
- W2951148417 cites W2176176628 @default.
- W2951148417 cites W2191649768 @default.
- W2951148417 cites W2293665238 @default.
- W2951148417 cites W2394719728 @default.
- W2951148417 cites W2476318530 @default.
- W2951148417 cites W2489521723 @default.
- W2951148417 cites W2516728239 @default.
- W2951148417 cites W2526548677 @default.
- W2951148417 cites W2583637314 @default.
- W2951148417 cites W2592328293 @default.
- W2951148417 cites W2736129523 @default.
- W2951148417 cites W2762478248 @default.
- W2951148417 cites W2767574409 @default.
- W2951148417 cites W2801223515 @default.
- W2951148417 cites W280350725 @default.
- W2951148417 cites W2914525359 @default.
- W2951148417 cites W3144308317 @default.
- W2951148417 cites W4292692317 @default.
- W2951148417 cites W968732228 @default.
- W2951148417 doi "https://doi.org/10.1080/00207721.2019.1623340" @default.
- W2951148417 hasPublicationYear "2019" @default.
- W2951148417 type Work @default.
- W2951148417 sameAs 2951148417 @default.
- W2951148417 citedByCount "15" @default.
- W2951148417 countsByYear W29511484172020 @default.
- W2951148417 countsByYear W29511484172021 @default.
- W2951148417 countsByYear W29511484172022 @default.
- W2951148417 countsByYear W29511484172023 @default.
- W2951148417 crossrefType "journal-article" @default.
- W2951148417 hasAuthorship W2951148417A5086901177 @default.
- W2951148417 hasAuthorship W2951148417A5087681302 @default.
- W2951148417 hasConcept C105795698 @default.
- W2951148417 hasConcept C111919701 @default.
- W2951148417 hasConcept C112972136 @default.
- W2951148417 hasConcept C119857082 @default.
- W2951148417 hasConcept C121332964 @default.
- W2951148417 hasConcept C122123141 @default.
- W2951148417 hasConcept C126255220 @default.
- W2951148417 hasConcept C127413603 @default.
- W2951148417 hasConcept C134306372 @default.
- W2951148417 hasConcept C146978453 @default.
- W2951148417 hasConcept C147168706 @default.
- W2951148417 hasConcept C152361515 @default.
- W2951148417 hasConcept C154945302 @default.
- W2951148417 hasConcept C158622935 @default.
- W2951148417 hasConcept C167964875 @default.
- W2951148417 hasConcept C18903297 @default.
- W2951148417 hasConcept C201829737 @default.
- W2951148417 hasConcept C2775924081 @default.
- W2951148417 hasConcept C2777299769 @default.
- W2951148417 hasConcept C2780365114 @default.
- W2951148417 hasConcept C27956954 @default.
- W2951148417 hasConcept C28826006 @default.
- W2951148417 hasConcept C33923547 @default.
- W2951148417 hasConcept C41008148 @default.
- W2951148417 hasConcept C47446073 @default.
- W2951148417 hasConcept C50644808 @default.
- W2951148417 hasConcept C62520636 @default.
- W2951148417 hasConcept C78045399 @default.
- W2951148417 hasConcept C86582703 @default.
- W2951148417 hasConcept C86803240 @default.
- W2951148417 hasConcept C94766913 @default.
- W2951148417 hasConceptScore W2951148417C105795698 @default.
- W2951148417 hasConceptScore W2951148417C111919701 @default.
- W2951148417 hasConceptScore W2951148417C112972136 @default.