| contributor author | Accetta, A. | |
| contributor author | Cirrincione, M. | |
| contributor author | Pucci, M. | |
| contributor author | Vitale, G. | |
| date accessioned | 2020-03-12T18:31:48Z | |
| date available | 2020-03-12T18:31:48Z | |
| date issued | 2014 | |
| identifier issn | 0093-9994 | |
| identifier other | 6654341.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/961540?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Neural Sensorless Control of Linear Induction Motors by a Full-Order Luenberger Observer Considering the End Effects | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7994351 | |
| subject keywords | least squares approximations | |
| subject keywords | linear induction motors | |
| subject keywords | motor drives | |
| subject keywords | sensorless machine control | |
| subject keywords | end effects | |
| subject keywords | full order Luenberger adaptive speed observer | |
| subject keywords | gain matrix choice | |
| subject keywords | machine linear speed | |
| subject keywords | neural sensorless control | |
| subject keywords | rotating induction machine model | |
| subject keywords | sensorless linear induction motor drives | |
| subject keywords | sliding mode MRAS observers | |
| subject keywords | state space vector representation | |
| subject keywords | total least squares | |
| subject keywords | Air gaps | |
| subject keywords | Equations | |
| subject keywords | Inductance | |
| subject keywords | Inductors | |
| subject keywords | Mathematical model | |
| subject keywords | Neurons | |
| subject keywords | Observers | |
| subject keywords | Dynamic end effects | |
| subject keywords | End effe | |
| identifier doi | 10.1109/TIA.2013.2288429 | |
| journal title | Industry Applications, IEEE Transactions on | |
| journal volume | 50 | |
| journal issue | 3 | |
| filesize | 1976805 | |
| citations | 0 | |