Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
سال
: 2016شناسه الکترونیک: 10.1016/j.cam.2016.01.042
کالکشن
:
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آمار بازدید
Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition
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| contributor author | Feng Ding | |
| contributor author | Ximei Liu | |
| contributor author | Xingyun Ma | |
| date accessioned | 2020-03-14T14:49:02Z | |
| date available | 2020-03-14T14:49:02Z | |
| date issued | 2016 | |
| identifier other | EAnjLFRFfrWq_xAE2ObyZnKEVgaYEvDVSFxb4Vlyo0bEM7w1TH.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1675300 | |
| format | general | |
| language | English | |
| title | Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 12006490 | |
| identifier doi | 10.1016/j.cam.2016.01.042 | |
| journal title | Journal of Computational and Applied Mathematics | |
| coverage | Academic | |
| pages | 135-143 | |
| journal volume | 301 | |
| filesize | 510690 | |
| citations | 3 |