FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297106385> ?p ?o ?g. }

• W4297106385 endingPage "293" @default.
• W4297106385 startingPage "273" @default.
• W4297106385 abstract "The presented input convex neural multi-modelling approach to Model Predictive Control (MPC) has two essential advantages. Firstly, the MPC algorithm solves only convex optimisation tasks; complex not convex and multi-modal problems are not considered. Secondly, the model is trained in a simple one-step-ahead configuration and it is not used recurrently for prediction. Two neural multi-model structures are considered: fully input convex and partially input convex ones. The fully convex model structure turns out to be too restrictive for the considered polymerisation reactor benchmark process. The partially convex model leads to very good prediction accuracy and excellent control quality. Development of fully and partially input convex multi-models is thoroughly described, particularly selection of the number of the hidden nodes. Additionally, low effectiveness of a linear multi-model is discussed for comparison." @default.
• W4297106385 created "2022-09-27" @default.
• W4297106385 creator A5043511330 @default.
• W4297106385 date "2022-11-01" @default.
• W4297106385 modified "2023-09-30" @default.
• W4297106385 title "Input convex neural networks in nonlinear predictive control: A multi-model approach" @default.
• W4297106385 cites W1591342492 @default.
• W4297106385 cites W1965439510 @default.
• W4297106385 cites W1974787601 @default.
• W4297106385 cites W1986296919 @default.
• W4297106385 cites W2010027176 @default.
• W4297106385 cites W2030184368 @default.
• W4297106385 cites W2055076627 @default.
• W4297106385 cites W2055748828 @default.
• W4297106385 cites W2062789613 @default.
• W4297106385 cites W2071649226 @default.
• W4297106385 cites W2074731840 @default.
• W4297106385 cites W2077390730 @default.
• W4297106385 cites W2090643498 @default.
• W4297106385 cites W2093729660 @default.
• W4297106385 cites W2204002259 @default.
• W4297106385 cites W2393016285 @default.
• W4297106385 cites W2401397879 @default.
• W4297106385 cites W2403268094 @default.
• W4297106385 cites W2561027863 @default.
• W4297106385 cites W2583693328 @default.
• W4297106385 cites W2586779249 @default.
• W4297106385 cites W2895639295 @default.
• W4297106385 cites W3011573842 @default.
• W4297106385 cites W3047963282 @default.
• W4297106385 cites W3102735978 @default.
• W4297106385 cites W3115527645 @default.
• W4297106385 cites W3153251967 @default.
• W4297106385 cites W3154832311 @default.
• W4297106385 cites W3161626593 @default.
• W4297106385 cites W3196397896 @default.
• W4297106385 cites W3215085381 @default.
• W4297106385 doi "https://doi.org/10.1016/j.neucom.2022.09.108" @default.
• W4297106385 hasPublicationYear "2022" @default.
• W4297106385 type Work @default.
• W4297106385 citedByCount "0" @default.
• W4297106385 crossrefType "journal-article" @default.
• W4297106385 hasAuthorship W4297106385A5043511330 @default.
• W4297106385 hasBestOaLocation W42971063851 @default.
• W4297106385 hasConcept C111110010 @default.
• W4297106385 hasConcept C111472728 @default.
• W4297106385 hasConcept C111919701 @default.
• W4297106385 hasConcept C112680207 @default.
• W4297106385 hasConcept C11413529 @default.
• W4297106385 hasConcept C121332964 @default.
• W4297106385 hasConcept C126255220 @default.
• W4297106385 hasConcept C13280743 @default.
• W4297106385 hasConcept C138885662 @default.
• W4297106385 hasConcept C154945302 @default.
• W4297106385 hasConcept C157972887 @default.
• W4297106385 hasConcept C158622935 @default.
• W4297106385 hasConcept C172205157 @default.
• W4297106385 hasConcept C185798385 @default.
• W4297106385 hasConcept C201829737 @default.
• W4297106385 hasConcept C205649164 @default.
• W4297106385 hasConcept C2524010 @default.
• W4297106385 hasConcept C2775924081 @default.
• W4297106385 hasConcept C2780586882 @default.
• W4297106385 hasConcept C33923547 @default.
• W4297106385 hasConcept C41008148 @default.
• W4297106385 hasConcept C47446073 @default.
• W4297106385 hasConcept C50644808 @default.
• W4297106385 hasConcept C62520636 @default.
• W4297106385 hasConcept C81917197 @default.
• W4297106385 hasConcept C98045186 @default.
• W4297106385 hasConceptScore W4297106385C111110010 @default.
• W4297106385 hasConceptScore W4297106385C111472728 @default.
• W4297106385 hasConceptScore W4297106385C111919701 @default.
• W4297106385 hasConceptScore W4297106385C112680207 @default.
• W4297106385 hasConceptScore W4297106385C11413529 @default.
• W4297106385 hasConceptScore W4297106385C121332964 @default.
• W4297106385 hasConceptScore W4297106385C126255220 @default.
• W4297106385 hasConceptScore W4297106385C13280743 @default.
• W4297106385 hasConceptScore W4297106385C138885662 @default.
• W4297106385 hasConceptScore W4297106385C154945302 @default.
• W4297106385 hasConceptScore W4297106385C157972887 @default.
• W4297106385 hasConceptScore W4297106385C158622935 @default.
• W4297106385 hasConceptScore W4297106385C172205157 @default.
• W4297106385 hasConceptScore W4297106385C185798385 @default.
• W4297106385 hasConceptScore W4297106385C201829737 @default.
• W4297106385 hasConceptScore W4297106385C205649164 @default.
• W4297106385 hasConceptScore W4297106385C2524010 @default.
• W4297106385 hasConceptScore W4297106385C2775924081 @default.
• W4297106385 hasConceptScore W4297106385C2780586882 @default.
• W4297106385 hasConceptScore W4297106385C33923547 @default.
• W4297106385 hasConceptScore W4297106385C41008148 @default.
• W4297106385 hasConceptScore W4297106385C47446073 @default.
• W4297106385 hasConceptScore W4297106385C50644808 @default.
• W4297106385 hasConceptScore W4297106385C62520636 @default.
• W4297106385 hasConceptScore W4297106385C81917197 @default.
• W4297106385 hasConceptScore W4297106385C98045186 @default.
• W4297106385 hasLocation W42971063851 @default.
• W4297106385 hasOpenAccess W4297106385 @default.

• next