Please use this identifier to cite or link to this item:
https://hdl.handle.net/11499/8508
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, X. | - |
dc.contributor.author | İplikçi, Serdar | - |
dc.contributor.author | Chen, S. | - |
dc.contributor.author | Warwick, K. | - |
dc.date.accessioned | 2019-08-16T12:41:32Z | |
dc.date.available | 2019-08-16T12:41:32Z | |
dc.date.issued | 2012 | - |
dc.identifier.isbn | 18650929 (ISSN) | - |
dc.identifier.isbn | 9783642318368 | - |
dc.identifier.uri | https://hdl.handle.net/11499/8508 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-642-31837-5_6 | - |
dc.description.abstract | A new PID tuning and controller approach is introduced for Hammerstein systems based on input/output data. A B-spline neural network is used to model the nonlinear static function in the Hammerstein system. The control signal is composed of a PID controller together with a correction term. In order to update the control signal, the multistep ahead predictions of the Hammerstein system based on the B-spline neural networks and the associated Jacobians matrix are calculated using the De Boor algorithms including both the functional and derivative recursions. A numerical example is utilized to demonstrate the efficacy of the proposed approaches. © 2012 Springer-Verlag. | en_US |
dc.language.iso | en | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hammerstein model | en_US |
dc.subject | PID controller | en_US |
dc.subject | system identification | en_US |
dc.subject | B-spline neural network | en_US |
dc.subject | Control signal | en_US |
dc.subject | Correction terms | en_US |
dc.subject | De Boor Algorithm | en_US |
dc.subject | Hammerstein system | en_US |
dc.subject | Input/output datum | en_US |
dc.subject | Jacobians | en_US |
dc.subject | Multi-step | en_US |
dc.subject | Nonlinear static function | en_US |
dc.subject | Numerical example | en_US |
dc.subject | PID controllers | en_US |
dc.subject | PID tuning | en_US |
dc.subject | Recursions | en_US |
dc.subject | Electric control equipment | en_US |
dc.subject | Identification (control systems) | en_US |
dc.subject | Intelligent computing | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Nonlinear systems | en_US |
dc.subject | Proportional control systems | en_US |
dc.title | B-spline neural networks based PID controller for Hammerstein systems | en_US |
dc.type | Conference Object | en_US |
dc.identifier.volume | 304 CCIS | en_US |
dc.identifier.startpage | 38 | |
dc.identifier.startpage | 38 | en_US |
dc.identifier.endpage | 46 | en_US |
dc.identifier.doi | 10.1007/978-3-642-31837-5_6 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopus | 2-s2.0-84864970940 | en_US |
dc.identifier.wos | WOS:000310938000006 | en_US |
dc.owner | Pamukkale University | - |
item.languageiso639-1 | en | - |
item.openairetype | Conference Object | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 10.10. Computer Engineering | - |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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