Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Iplikci, S."'
Autor:
Iplikci, S.
Publikováno v:
In Neurocomputing 2010 73(10):2097-2107
Publikováno v:
In Engineering Applications of Artificial Intelligence 2009 22(4):808-814
Autor:
Akpunar, A, Iplikci, S
Permanent magnet synchronous motors (PMSMs) have commonly been used in a wide spectrum ranging from industry to home appliances because of their advantages over their conventional counterparts. However, PMSMs are multiple-input multiple-output (MIMO)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3566::9c33c719ad4557c7390bae39a034fd9c
Soft sensing technology has still important industrial applications especially for chemical reactors, robotic applications, etc. Therefore, this paper introduces and applies novel Runge-Kutta (RK) discretization-based nonlinear observers for real-tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3d1f461cc69cbee3eaeac67615487803
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/15971
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/15971
Autor:
Iplikci, S, Bahtiyar, B
This paper presents the very first field-programmable gate array (FPGA) implementation of the Runge-Kutta model predictive control (RKMPC) mechanism to the real-time experimental electromagnetic levitation system, which is an unstable nonlinear conti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3566::04390b031c2b1bcc8ebf706187c34346
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/23195
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/23195
This paper presents a study on predicting academically at-risk engineering students at the early stage of their education. For this purpose, some soft computing tools namely support vectors machines and artificial neural networks have been employed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3566::7d7f33d621aa5ab2423873da4e09626c
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/22078
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/22078
A novel architecture for flood routing model has been proposed and its efficiency is validated on several problems by employing support vector machines. The architecture is designed by including the inputs and observed and calculated outflows from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3566::ead4d13eb806e4e80d1831de3e0713db
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/22090
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/22090
In this paper, a new model-based proportional-integral-derivative (PID) tuning and controller approach is introduced for Hammerstein systems that are identified on the basis of the observational input/output data. The nonlinear static function in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3566::59ea42a8e82fe4f548c19cc062598a5e
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/21968
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/21968
Autor:
Sarioglu, S., Iplikci, S., Akbulut, N., Aydin, B., Dogan, E., Unlu, M., Ellidokuz, H., Emel Ada, Akman, F., Ikiz, A. O.
Publikováno v:
Web of Science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::dc72d9af9bf54b9f091cd39544e8cde2
https://avesis.deu.edu.tr/publication/details/037f087b-e1ba-4dea-8305-f5a88d51c3b1/oai
https://avesis.deu.edu.tr/publication/details/037f087b-e1ba-4dea-8305-f5a88d51c3b1/oai
Deep Brain Stimulation has been used in the study of and for treating Parkinson's Disease (PD) tremor symptoms since the 1980s. In the research reported here we have carried out a comparative analysis to classify tremor onset based on intraoperative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ffdb6c75a6174a8f1ea00c4a3274dd9
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/20812
http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/20812