Matches in SemOpenAlex for { <https://semopenalex.org/work/W2025830891> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W2025830891 endingPage "179" @default.
- W2025830891 startingPage "170" @default.
- W2025830891 abstract "With reference to a real industrial application of process control, some considerations are discussed concerning the accuracy of methods for auto-tuning of proportional, integral and derivative factor (PID). In particular, a theoretical–experimental approach is described, that allows to evaluate the adequateness of new methods for auto-tuning of PID, able to significantly reduce the time duration for auto-tuning with respect to traditional ones. This result has been achieved by using suitable techniques of experimental data processing, based on neural-networks algorithms, set for this specific application. The effect on described methodology of environmental and operating disturbances is also described." @default.
- W2025830891 created "2016-06-24" @default.
- W2025830891 creator A5076676421 @default.
- W2025830891 creator A5082639121 @default.
- W2025830891 creator A5089982076 @default.
- W2025830891 date "2007-04-01" @default.
- W2025830891 modified "2023-10-17" @default.
- W2025830891 title "Use of neural networks for quick and accurate auto-tuning of PID controller" @default.
- W2025830891 cites W1994861982 @default.
- W2025830891 cites W1996583941 @default.
- W2025830891 cites W2022887311 @default.
- W2025830891 cites W2045028493 @default.
- W2025830891 cites W2135215099 @default.
- W2025830891 doi "https://doi.org/10.1016/j.rcim.2006.04.001" @default.
- W2025830891 hasPublicationYear "2007" @default.
- W2025830891 type Work @default.
- W2025830891 sameAs 2025830891 @default.
- W2025830891 citedByCount "35" @default.
- W2025830891 countsByYear W20258308912012 @default.
- W2025830891 countsByYear W20258308912013 @default.
- W2025830891 countsByYear W20258308912014 @default.
- W2025830891 countsByYear W20258308912015 @default.
- W2025830891 countsByYear W20258308912016 @default.
- W2025830891 countsByYear W20258308912018 @default.
- W2025830891 countsByYear W20258308912019 @default.
- W2025830891 countsByYear W20258308912020 @default.
- W2025830891 countsByYear W20258308912021 @default.
- W2025830891 countsByYear W20258308912022 @default.
- W2025830891 countsByYear W20258308912023 @default.
- W2025830891 crossrefType "journal-article" @default.
- W2025830891 hasAuthorship W2025830891A5076676421 @default.
- W2025830891 hasAuthorship W2025830891A5082639121 @default.
- W2025830891 hasAuthorship W2025830891A5089982076 @default.
- W2025830891 hasConcept C111919701 @default.
- W2025830891 hasConcept C127413603 @default.
- W2025830891 hasConcept C133731056 @default.
- W2025830891 hasConcept C154945302 @default.
- W2025830891 hasConcept C155386361 @default.
- W2025830891 hasConcept C177264268 @default.
- W2025830891 hasConcept C199360897 @default.
- W2025830891 hasConcept C203479927 @default.
- W2025830891 hasConcept C2775924081 @default.
- W2025830891 hasConcept C2986422732 @default.
- W2025830891 hasConcept C41008148 @default.
- W2025830891 hasConcept C47116090 @default.
- W2025830891 hasConcept C47446073 @default.
- W2025830891 hasConcept C50644808 @default.
- W2025830891 hasConcept C536315585 @default.
- W2025830891 hasConcept C6557445 @default.
- W2025830891 hasConcept C86803240 @default.
- W2025830891 hasConcept C98045186 @default.
- W2025830891 hasConceptScore W2025830891C111919701 @default.
- W2025830891 hasConceptScore W2025830891C127413603 @default.
- W2025830891 hasConceptScore W2025830891C133731056 @default.
- W2025830891 hasConceptScore W2025830891C154945302 @default.
- W2025830891 hasConceptScore W2025830891C155386361 @default.
- W2025830891 hasConceptScore W2025830891C177264268 @default.
- W2025830891 hasConceptScore W2025830891C199360897 @default.
- W2025830891 hasConceptScore W2025830891C203479927 @default.
- W2025830891 hasConceptScore W2025830891C2775924081 @default.
- W2025830891 hasConceptScore W2025830891C2986422732 @default.
- W2025830891 hasConceptScore W2025830891C41008148 @default.
- W2025830891 hasConceptScore W2025830891C47116090 @default.
- W2025830891 hasConceptScore W2025830891C47446073 @default.
- W2025830891 hasConceptScore W2025830891C50644808 @default.
- W2025830891 hasConceptScore W2025830891C536315585 @default.
- W2025830891 hasConceptScore W2025830891C6557445 @default.
- W2025830891 hasConceptScore W2025830891C86803240 @default.
- W2025830891 hasConceptScore W2025830891C98045186 @default.
- W2025830891 hasIssue "2" @default.
- W2025830891 hasLocation W20258308911 @default.
- W2025830891 hasOpenAccess W2025830891 @default.
- W2025830891 hasPrimaryLocation W20258308911 @default.
- W2025830891 hasRelatedWork W1494581972 @default.
- W2025830891 hasRelatedWork W1989195983 @default.
- W2025830891 hasRelatedWork W2023758713 @default.
- W2025830891 hasRelatedWork W2041685605 @default.
- W2025830891 hasRelatedWork W2354694949 @default.
- W2025830891 hasRelatedWork W2380342928 @default.
- W2025830891 hasRelatedWork W3101842714 @default.
- W2025830891 hasRelatedWork W4320922540 @default.
- W2025830891 hasRelatedWork W4384916966 @default.
- W2025830891 hasRelatedWork W82747921 @default.
- W2025830891 hasVolume "23" @default.
- W2025830891 isParatext "false" @default.
- W2025830891 isRetracted "false" @default.
- W2025830891 magId "2025830891" @default.
- W2025830891 workType "article" @default.