FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2063234080> ?p ?o ?g. }

• W2063234080 endingPage "744" @default.
• W2063234080 startingPage "737" @default.
• W2063234080 abstract "This study examines the sampled-data state estimation problem for genetic regulatory networks (GRNs) with time-varying delays. Instead of the continuous measurements, the sampled measurements are used to estimate the true concentration of mRNAs and proteins of the GRNs. By changing the sampling period into a bounded time-varying delay, the error dynamics of the considered GRN is derived in terms of a dynamical system with time-varying delays. Sufficient conditions are derived such that the augmented system governing the error dynamics is globally asymptotically stable. The design of the desired state estimator is proposed by constructing a suitable Lyapunov–Krasovskii functional (LKF), and the design procedure can be easily achieved by solving a set of linear matrix inequalities (LMIs). Finally, the proposed method is validated through the numerical simulation which shows the effectiveness the our results." @default.
• W2063234080 created "2016-06-24" @default.
• W2063234080 creator A5028948777 @default.
• W2063234080 creator A5056708463 @default.
• W2063234080 creator A5062941714 @default.
• W2063234080 creator A5076621570 @default.
• W2063234080 date "2015-03-01" @default.
• W2063234080 modified "2023-10-11" @default.
• W2063234080 title "Sampled-data state estimation for genetic regulatory networks with time-varying delays" @default.
• W2063234080 cites W1645305843 @default.
• W2063234080 cites W1821013472 @default.
• W2063234080 cites W1915556453 @default.
• W2063234080 cites W1973495979 @default.
• W2063234080 cites W1976234516 @default.
• W2063234080 cites W1982181970 @default.
• W2063234080 cites W1982512646 @default.
• W2063234080 cites W1985744971 @default.
• W2063234080 cites W1995302714 @default.
• W2063234080 cites W1999902057 @default.
• W2063234080 cites W2000501190 @default.
• W2063234080 cites W2001087617 @default.
• W2063234080 cites W2031903817 @default.
• W2063234080 cites W2034445678 @default.
• W2063234080 cites W2043076006 @default.
• W2063234080 cites W2050098163 @default.
• W2063234080 cites W2050431288 @default.
• W2063234080 cites W2051551627 @default.
• W2063234080 cites W2053183684 @default.
• W2063234080 cites W2065289293 @default.
• W2063234080 cites W2068084471 @default.
• W2063234080 cites W2070536907 @default.
• W2063234080 cites W2071997248 @default.
• W2063234080 cites W2075942945 @default.
• W2063234080 cites W2077229799 @default.
• W2063234080 cites W2120510384 @default.
• W2063234080 cites W2125000767 @default.
• W2063234080 cites W2134759932 @default.
• W2063234080 cites W2154445096 @default.
• W2063234080 cites W2156792674 @default.
• W2063234080 cites W2157789465 @default.
• W2063234080 doi "https://doi.org/10.1016/j.neucom.2014.10.029" @default.
• W2063234080 hasPublicationYear "2015" @default.
• W2063234080 type Work @default.
• W2063234080 sameAs 2063234080 @default.
• W2063234080 citedByCount "36" @default.
• W2063234080 countsByYear W20632340802015 @default.
• W2063234080 countsByYear W20632340802016 @default.
• W2063234080 countsByYear W20632340802017 @default.
• W2063234080 countsByYear W20632340802018 @default.
• W2063234080 countsByYear W20632340802019 @default.
• W2063234080 countsByYear W20632340802020 @default.
• W2063234080 countsByYear W20632340802021 @default.
• W2063234080 countsByYear W20632340802022 @default.
• W2063234080 countsByYear W20632340802023 @default.
• W2063234080 crossrefType "journal-article" @default.
• W2063234080 hasAuthorship W2063234080A5028948777 @default.
• W2063234080 hasAuthorship W2063234080A5056708463 @default.
• W2063234080 hasAuthorship W2063234080A5062941714 @default.
• W2063234080 hasAuthorship W2063234080A5076621570 @default.
• W2063234080 hasConcept C105795698 @default.
• W2063234080 hasConcept C106131492 @default.
• W2063234080 hasConcept C11413529 @default.
• W2063234080 hasConcept C121332964 @default.
• W2063234080 hasConcept C126255220 @default.
• W2063234080 hasConcept C134306372 @default.
• W2063234080 hasConcept C140779682 @default.
• W2063234080 hasConcept C154945302 @default.
• W2063234080 hasConcept C158622935 @default.
• W2063234080 hasConcept C162324750 @default.
• W2063234080 hasConcept C177264268 @default.
• W2063234080 hasConcept C185429906 @default.
• W2063234080 hasConcept C187736073 @default.
• W2063234080 hasConcept C199360897 @default.
• W2063234080 hasConcept C2775924081 @default.
• W2063234080 hasConcept C28826006 @default.
• W2063234080 hasConcept C31972630 @default.
• W2063234080 hasConcept C33923547 @default.
• W2063234080 hasConcept C34388435 @default.
• W2063234080 hasConcept C41008148 @default.
• W2063234080 hasConcept C41949839 @default.
• W2063234080 hasConcept C47446073 @default.
• W2063234080 hasConcept C48103436 @default.
• W2063234080 hasConcept C62520636 @default.
• W2063234080 hasConcept C96250715 @default.
• W2063234080 hasConceptScore W2063234080C105795698 @default.
• W2063234080 hasConceptScore W2063234080C106131492 @default.
• W2063234080 hasConceptScore W2063234080C11413529 @default.
• W2063234080 hasConceptScore W2063234080C121332964 @default.
• W2063234080 hasConceptScore W2063234080C126255220 @default.
• W2063234080 hasConceptScore W2063234080C134306372 @default.
• W2063234080 hasConceptScore W2063234080C140779682 @default.
• W2063234080 hasConceptScore W2063234080C154945302 @default.
• W2063234080 hasConceptScore W2063234080C158622935 @default.
• W2063234080 hasConceptScore W2063234080C162324750 @default.
• W2063234080 hasConceptScore W2063234080C177264268 @default.
• W2063234080 hasConceptScore W2063234080C185429906 @default.
• W2063234080 hasConceptScore W2063234080C187736073 @default.
• W2063234080 hasConceptScore W2063234080C199360897 @default.

• next