Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034851794> ?p ?o ?g. }
- W2034851794 endingPage "40" @default.
- W2034851794 startingPage "35" @default.
- W2034851794 abstract "In this paper, we present a new method based on echo state network (ESN) to control discrete chaotic systems. ESN could achieve very high precision in chaotic time series prediction and overcome most issues encountered in using traditional artificial neural networks, especially local minima and overfitting. In order to achieve good control effect when there is noise in chaotic systems, an adaptive noise canceler is introduced to eliminate the effect of the noise and perturbation. The support vector machine (SVM) is adopted to identify inverse model of the controlled plant as the adaptive noise canceler. Simulation results show that the proposed method could achieve very good control effect, possess a good stability and completely reduce the adverse effect." @default.
- W2034851794 created "2016-06-24" @default.
- W2034851794 creator A5022583120 @default.
- W2034851794 creator A5028948842 @default.
- W2034851794 creator A5060379063 @default.
- W2034851794 creator A5091324331 @default.
- W2034851794 date "2012-11-01" @default.
- W2034851794 modified "2023-10-02" @default.
- W2034851794 title "Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler" @default.
- W2034851794 cites W1887736925 @default.
- W2034851794 cites W1927651798 @default.
- W2034851794 cites W1966227095 @default.
- W2034851794 cites W1969430778 @default.
- W2034851794 cites W1976524151 @default.
- W2034851794 cites W1983564464 @default.
- W2034851794 cites W1985123443 @default.
- W2034851794 cites W1989996768 @default.
- W2034851794 cites W1996770352 @default.
- W2034851794 cites W2006695941 @default.
- W2034851794 cites W2007055842 @default.
- W2034851794 cites W2008997808 @default.
- W2034851794 cites W2009615718 @default.
- W2034851794 cites W2025025456 @default.
- W2034851794 cites W2031447372 @default.
- W2034851794 cites W2031645826 @default.
- W2034851794 cites W2034491995 @default.
- W2034851794 cites W2036202071 @default.
- W2034851794 cites W2041673452 @default.
- W2034851794 cites W2045001586 @default.
- W2034851794 cites W2053277551 @default.
- W2034851794 cites W2060124120 @default.
- W2034851794 cites W2080379544 @default.
- W2034851794 cites W2088088299 @default.
- W2034851794 cites W2092730838 @default.
- W2034851794 cites W2093610415 @default.
- W2034851794 cites W2094704186 @default.
- W2034851794 cites W2110075977 @default.
- W2034851794 cites W2115437494 @default.
- W2034851794 cites W2118706537 @default.
- W2034851794 cites W2139287577 @default.
- W2034851794 cites W2149350404 @default.
- W2034851794 cites W2224626620 @default.
- W2034851794 cites W4233104424 @default.
- W2034851794 cites W4256163834 @default.
- W2034851794 cites W48447644 @default.
- W2034851794 doi "https://doi.org/10.1016/j.knosys.2012.04.019" @default.
- W2034851794 hasPublicationYear "2012" @default.
- W2034851794 type Work @default.
- W2034851794 sameAs 2034851794 @default.
- W2034851794 citedByCount "23" @default.
- W2034851794 countsByYear W20348517942013 @default.
- W2034851794 countsByYear W20348517942014 @default.
- W2034851794 countsByYear W20348517942015 @default.
- W2034851794 countsByYear W20348517942016 @default.
- W2034851794 countsByYear W20348517942017 @default.
- W2034851794 countsByYear W20348517942019 @default.
- W2034851794 countsByYear W20348517942020 @default.
- W2034851794 countsByYear W20348517942021 @default.
- W2034851794 countsByYear W20348517942022 @default.
- W2034851794 countsByYear W20348517942023 @default.
- W2034851794 crossrefType "journal-article" @default.
- W2034851794 hasAuthorship W2034851794A5022583120 @default.
- W2034851794 hasAuthorship W2034851794A5028948842 @default.
- W2034851794 hasAuthorship W2034851794A5060379063 @default.
- W2034851794 hasAuthorship W2034851794A5091324331 @default.
- W2034851794 hasConcept C100342000 @default.
- W2034851794 hasConcept C107464732 @default.
- W2034851794 hasConcept C112633086 @default.
- W2034851794 hasConcept C115961682 @default.
- W2034851794 hasConcept C134306372 @default.
- W2034851794 hasConcept C147168706 @default.
- W2034851794 hasConcept C154945302 @default.
- W2034851794 hasConcept C163294075 @default.
- W2034851794 hasConcept C172025690 @default.
- W2034851794 hasConcept C186633575 @default.
- W2034851794 hasConcept C22019652 @default.
- W2034851794 hasConcept C2775924081 @default.
- W2034851794 hasConcept C2777052490 @default.
- W2034851794 hasConcept C33923547 @default.
- W2034851794 hasConcept C41008148 @default.
- W2034851794 hasConcept C47446073 @default.
- W2034851794 hasConcept C50644808 @default.
- W2034851794 hasConcept C76155785 @default.
- W2034851794 hasConcept C99498987 @default.
- W2034851794 hasConceptScore W2034851794C100342000 @default.
- W2034851794 hasConceptScore W2034851794C107464732 @default.
- W2034851794 hasConceptScore W2034851794C112633086 @default.
- W2034851794 hasConceptScore W2034851794C115961682 @default.
- W2034851794 hasConceptScore W2034851794C134306372 @default.
- W2034851794 hasConceptScore W2034851794C147168706 @default.
- W2034851794 hasConceptScore W2034851794C154945302 @default.
- W2034851794 hasConceptScore W2034851794C163294075 @default.
- W2034851794 hasConceptScore W2034851794C172025690 @default.
- W2034851794 hasConceptScore W2034851794C186633575 @default.
- W2034851794 hasConceptScore W2034851794C22019652 @default.
- W2034851794 hasConceptScore W2034851794C2775924081 @default.
- W2034851794 hasConceptScore W2034851794C2777052490 @default.
- W2034851794 hasConceptScore W2034851794C33923547 @default.