FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2465358570> ?p ?o ?g. }

• W2465358570 endingPage "429" @default.
• W2465358570 startingPage "420" @default.
• W2465358570 abstract "This paper investigates the problem of discrete-time stochastic recurrent neural networks with multiple time-varying delays in the leakage terms and impulses. A new set of sufficient conditions are obtained by constructing an appropriate Lyapunov-Krasovskii functional combining with linear matrix inequality technique and free weighting matrix method. The obtained delay-dependent stability conditions are expressed in terms of linear matrix inequalities and it can be solved via some available software packages. Up to now, the asymptotic stability problem is studied for discrete-delay in the leakage terms. For the first time in our paper, we have considered distributed delays and impulses for such kind of networks. In addition, we have provided a numerical example to demonstrate the effectiveness of our obtained stability results for the theoretical section." @default.
• W2465358570 created "2016-07-22" @default.
• W2465358570 creator A5000375972 @default.
• W2465358570 creator A5010460371 @default.
• W2465358570 creator A5034242786 @default.
• W2465358570 creator A5040836269 @default.
• W2465358570 creator A5075459772 @default.
• W2465358570 date "2016-11-01" @default.
• W2465358570 modified "2023-10-16" @default.
• W2465358570 title "New global asymptotic stability of discrete-time recurrent neural networks with multiple time-varying delays in the leakage term and impulsive effects" @default.
• W2465358570 cites W1968865341 @default.
• W2465358570 cites W1985779496 @default.
• W2465358570 cites W1987515824 @default.
• W2465358570 cites W1994291702 @default.
• W2465358570 cites W1997879049 @default.
• W2465358570 cites W1999290380 @default.
• W2465358570 cites W2016345252 @default.
• W2465358570 cites W2019464588 @default.
• W2465358570 cites W2019470216 @default.
• W2465358570 cites W2025770015 @default.
• W2465358570 cites W2028392152 @default.
• W2465358570 cites W2040162808 @default.
• W2465358570 cites W2042289076 @default.
• W2465358570 cites W2056043926 @default.
• W2465358570 cites W2061481630 @default.
• W2465358570 cites W2066931881 @default.
• W2465358570 cites W2067944977 @default.
• W2465358570 cites W2077251623 @default.
• W2465358570 cites W2078631936 @default.
• W2465358570 cites W2079730668 @default.
• W2465358570 cites W2086635487 @default.
• W2465358570 cites W2087313327 @default.
• W2465358570 cites W2091627477 @default.
• W2465358570 cites W2092876487 @default.
• W2465358570 cites W2098153188 @default.
• W2465358570 cites W2107084183 @default.
• W2465358570 cites W2108517517 @default.
• W2465358570 cites W2110975419 @default.
• W2465358570 cites W2117586864 @default.
• W2465358570 cites W2137964721 @default.
• W2465358570 cites W2143348717 @default.
• W2465358570 cites W2465194517 @default.
• W2465358570 doi "https://doi.org/10.1016/j.neucom.2016.06.040" @default.
• W2465358570 hasPublicationYear "2016" @default.
• W2465358570 type Work @default.
• W2465358570 sameAs 2465358570 @default.
• W2465358570 citedByCount "21" @default.
• W2465358570 countsByYear W24653585702016 @default.
• W2465358570 countsByYear W24653585702017 @default.
• W2465358570 countsByYear W24653585702018 @default.
• W2465358570 countsByYear W24653585702019 @default.
• W2465358570 countsByYear W24653585702020 @default.
• W2465358570 countsByYear W24653585702021 @default.
• W2465358570 countsByYear W24653585702022 @default.
• W2465358570 crossrefType "journal-article" @default.
• W2465358570 hasAuthorship W2465358570A5000375972 @default.
• W2465358570 hasAuthorship W2465358570A5010460371 @default.
• W2465358570 hasAuthorship W2465358570A5034242786 @default.
• W2465358570 hasAuthorship W2465358570A5040836269 @default.
• W2465358570 hasAuthorship W2465358570A5075459772 @default.
• W2465358570 hasConcept C105795698 @default.
• W2465358570 hasConcept C106487976 @default.
• W2465358570 hasConcept C112972136 @default.
• W2465358570 hasConcept C119857082 @default.
• W2465358570 hasConcept C121332964 @default.
• W2465358570 hasConcept C126255220 @default.
• W2465358570 hasConcept C126838900 @default.
• W2465358570 hasConcept C139719470 @default.
• W2465358570 hasConcept C147168706 @default.
• W2465358570 hasConcept C154945302 @default.
• W2465358570 hasConcept C158622935 @default.
• W2465358570 hasConcept C159985019 @default.
• W2465358570 hasConcept C162324750 @default.
• W2465358570 hasConcept C167964875 @default.
• W2465358570 hasConcept C183115368 @default.
• W2465358570 hasConcept C192562407 @default.
• W2465358570 hasConcept C201829737 @default.
• W2465358570 hasConcept C2775924081 @default.
• W2465358570 hasConcept C2777042071 @default.
• W2465358570 hasConcept C28826006 @default.
• W2465358570 hasConcept C33923547 @default.
• W2465358570 hasConcept C41008148 @default.
• W2465358570 hasConcept C47446073 @default.
• W2465358570 hasConcept C50644808 @default.
• W2465358570 hasConcept C55689738 @default.
• W2465358570 hasConcept C62520636 @default.
• W2465358570 hasConcept C71924100 @default.
• W2465358570 hasConcept C86582703 @default.
• W2465358570 hasConceptScore W2465358570C105795698 @default.
• W2465358570 hasConceptScore W2465358570C106487976 @default.
• W2465358570 hasConceptScore W2465358570C112972136 @default.
• W2465358570 hasConceptScore W2465358570C119857082 @default.
• W2465358570 hasConceptScore W2465358570C121332964 @default.
• W2465358570 hasConceptScore W2465358570C126255220 @default.
• W2465358570 hasConceptScore W2465358570C126838900 @default.
• W2465358570 hasConceptScore W2465358570C139719470 @default.
• W2465358570 hasConceptScore W2465358570C147168706 @default.
• W2465358570 hasConceptScore W2465358570C154945302 @default.

• next