Matches in SemOpenAlex for { <https://semopenalex.org/work/W2091207341> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W2091207341 endingPage "590" @default.
- W2091207341 startingPage "579" @default.
- W2091207341 abstract "Abstract A multi-layer feedforward neural network model based predictive control scheme is developed for a multivariable nonlinear steel pickling process in this paper. In the acid baths three variables under controlled are the hydrochloric acid concentrations. The baths exhibit the normal features of an industrial system such as nonlinear dynamics and multi-effects among variables. In the modeling, multiple input, single-output recurrent neural network subsystem models are developed using input–output data sets obtaining from mathematical model simulation. The Levenberg–Marquardt algorithm is used to train the process models. In the control (MPC) algorithm, the feedforward neural network models are used to predict the state variables over a prediction horizon within the model predictive control algorithm for searching the optimal control actions via sequential quadratic programming. The proposed algorithm is tested for control of a steel pickling process in several cases in simulation such as for set point tracking, disturbance, model mismatch and presence of noise. The results for the neural network model predictive control (NNMPC) overall show better performance in the control of the system over the conventional PI controller in all cases." @default.
- W2091207341 created "2016-06-24" @default.
- W2091207341 creator A5012929583 @default.
- W2091207341 creator A5054958225 @default.
- W2091207341 creator A5088868795 @default.
- W2091207341 creator A5090939091 @default.
- W2091207341 date "2009-04-01" @default.
- W2091207341 modified "2023-10-16" @default.
- W2091207341 title "Neural network based model predictive control for a steel pickling process" @default.
- W2091207341 cites W1982159887 @default.
- W2091207341 cites W2000573205 @default.
- W2091207341 cites W2007098995 @default.
- W2091207341 cites W2007350067 @default.
- W2091207341 cites W2010726064 @default.
- W2091207341 cites W2013339702 @default.
- W2091207341 cites W2017952082 @default.
- W2091207341 cites W2041115671 @default.
- W2091207341 cites W2049162197 @default.
- W2091207341 cites W2049468927 @default.
- W2091207341 cites W2049881253 @default.
- W2091207341 cites W2078733704 @default.
- W2091207341 cites W2087034752 @default.
- W2091207341 cites W2090875174 @default.
- W2091207341 cites W2132267451 @default.
- W2091207341 cites W2154658417 @default.
- W2091207341 cites W4235705646 @default.
- W2091207341 cites W1979168344 @default.
- W2091207341 doi "https://doi.org/10.1016/j.jprocont.2008.09.003" @default.
- W2091207341 hasPublicationYear "2009" @default.
- W2091207341 type Work @default.
- W2091207341 sameAs 2091207341 @default.
- W2091207341 citedByCount "112" @default.
- W2091207341 countsByYear W20912073412012 @default.
- W2091207341 countsByYear W20912073412013 @default.
- W2091207341 countsByYear W20912073412014 @default.
- W2091207341 countsByYear W20912073412015 @default.
- W2091207341 countsByYear W20912073412016 @default.
- W2091207341 countsByYear W20912073412017 @default.
- W2091207341 countsByYear W20912073412018 @default.
- W2091207341 countsByYear W20912073412019 @default.
- W2091207341 countsByYear W20912073412020 @default.
- W2091207341 countsByYear W20912073412021 @default.
- W2091207341 countsByYear W20912073412022 @default.
- W2091207341 countsByYear W20912073412023 @default.
- W2091207341 crossrefType "journal-article" @default.
- W2091207341 hasAuthorship W2091207341A5012929583 @default.
- W2091207341 hasAuthorship W2091207341A5054958225 @default.
- W2091207341 hasAuthorship W2091207341A5088868795 @default.
- W2091207341 hasAuthorship W2091207341A5090939091 @default.
- W2091207341 hasConcept C111919701 @default.
- W2091207341 hasConcept C127413603 @default.
- W2091207341 hasConcept C133731056 @default.
- W2091207341 hasConcept C154945302 @default.
- W2091207341 hasConcept C172205157 @default.
- W2091207341 hasConcept C191897082 @default.
- W2091207341 hasConcept C192562407 @default.
- W2091207341 hasConcept C2775924081 @default.
- W2091207341 hasConcept C2779641240 @default.
- W2091207341 hasConcept C41008148 @default.
- W2091207341 hasConcept C50644808 @default.
- W2091207341 hasConcept C98045186 @default.
- W2091207341 hasConceptScore W2091207341C111919701 @default.
- W2091207341 hasConceptScore W2091207341C127413603 @default.
- W2091207341 hasConceptScore W2091207341C133731056 @default.
- W2091207341 hasConceptScore W2091207341C154945302 @default.
- W2091207341 hasConceptScore W2091207341C172205157 @default.
- W2091207341 hasConceptScore W2091207341C191897082 @default.
- W2091207341 hasConceptScore W2091207341C192562407 @default.
- W2091207341 hasConceptScore W2091207341C2775924081 @default.
- W2091207341 hasConceptScore W2091207341C2779641240 @default.
- W2091207341 hasConceptScore W2091207341C41008148 @default.
- W2091207341 hasConceptScore W2091207341C50644808 @default.
- W2091207341 hasConceptScore W2091207341C98045186 @default.
- W2091207341 hasIssue "4" @default.
- W2091207341 hasLocation W20912073411 @default.
- W2091207341 hasOpenAccess W2091207341 @default.
- W2091207341 hasPrimaryLocation W20912073411 @default.
- W2091207341 hasRelatedWork W1522672041 @default.
- W2091207341 hasRelatedWork W1969909374 @default.
- W2091207341 hasRelatedWork W2181881614 @default.
- W2091207341 hasRelatedWork W2386387936 @default.
- W2091207341 hasRelatedWork W2394386606 @default.
- W2091207341 hasRelatedWork W2511795889 @default.
- W2091207341 hasRelatedWork W2658285887 @default.
- W2091207341 hasRelatedWork W2662936944 @default.
- W2091207341 hasRelatedWork W2899084033 @default.
- W2091207341 hasRelatedWork W3107474891 @default.
- W2091207341 hasVolume "19" @default.
- W2091207341 isParatext "false" @default.
- W2091207341 isRetracted "false" @default.
- W2091207341 magId "2091207341" @default.
- W2091207341 workType "article" @default.