Parameter identification of induction motor model by means of state space-vector model output error minimization
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سال
: 2014شناسه الکترونیک: 10.1109/CSCI.2014.97
کلیدواژه(گان): cloud computing,n computer centres,n energy consumption,n information technology,n job shop scheduling,n resource allocation,n virtual machines,n DCD organization,n EFFD algorithm,n IT industry,n cloud resource management,n data centre dynamic organization,n electricity consumption,n energy consumption,n energy-aware job scheduling,n enhanced first fit decreasing algorithm,n large-scale commercial applications,n scientific applications,n virt
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Parameter identification of induction motor model by means of state space-vector model output error minimization
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| contributor author | Accetta, A. | |
| contributor author | Alonge, F. | |
| contributor author | Cirrincione, M. | |
| contributor author | Pucci, M. | |
| contributor author | Sferlazza, A. | |
| date accessioned | 2020-03-12T21:49:57Z | |
| date available | 2020-03-12T21:49:57Z | |
| date issued | 2014 | |
| identifier other | 6960279.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1062054 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Parameter identification of induction motor model by means of state space-vector model output error minimization | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8193956 | |
| subject keywords | cloud computing | |
| subject keywords | n computer centres | |
| subject keywords | n energy consumption | |
| subject keywords | n information technology | |
| subject keywords | n job shop scheduling | |
| subject keywords | n resource allocation | |
| subject keywords | n virtual machines | |
| subject keywords | n DCD organization | |
| subject keywords | n EFFD algorithm | |
| subject keywords | n IT industry | |
| subject keywords | n cloud resource management | |
| subject keywords | n data centre dynamic organization | |
| subject keywords | n electricity consumption | |
| subject keywords | n energy consumption | |
| subject keywords | n energy-aware job scheduling | |
| subject keywords | n enhanced first fit decreasing algorithm | |
| subject keywords | n large-scale commercial applications | |
| subject keywords | n scientific applications | |
| subject keywords | n virt | |
| identifier doi | 10.1109/CSCI.2014.97 | |
| journal title | lectrical Machines (ICEM), 2014 International Conference on | |
| filesize | 3374616 | |
| citations | 1 |