000			01976nam a22002537a 4500
003			CO-NeUS
005			20180209100414.0
008			141006s2011 -usado f |||| 00| 0 eng d
020			_a9783540788782
040			_aCO-NeUS _bEspañol
041			_aeng
082			_221 _a003.1 _bIs2i
100			_aIsermann, Rolf _951010
245			_aIdentification of Dynamic Systems _bAn introduction with Applications _cRolf Isermann, Marco Münchhof
264			_aNew York _bSpringer _c2011
300			_axxv, 705 páginas : ilustraciones _c24 cm.
504			_aIncluye referencias bibliográficas e índice.
505			_aTheoretical and Experimental Modeling – Tasks and Problems for the Identification of Dynamic Systems – Mathematical Models of Linear Dynamic Systems and Stochastic Signals – Identification of Non-Parametric Models in the Frequency Domain- Continuous Time Signals – Spectral Analysis Methods for Periodic and Non-Periodic Signals – Frequency Response Measurement for Periodic Test Signals – Identification of Non-Parametric Models with Correlation Analysis- Continuous and Discrete Time – Correlation Analysis with Continuous Time Models – Correlation Analysis with Discrete time Models – Identification with Parametric Models- Discrete Time Signals – Identification with Parametric Models- Continuous Time Signals – Identification of Multi-Variable Systems – Identification of Multi-Variable Systems – Identification of Non-Linear Systems – Iterative Optimization – Neural Networks and Lookup Tables for Identification – State and Parameter Estimation by Kalman Filtering – Miscellaneous Issues – Numerical Aspects – Practical Aspects of Parameter Estimation – Applications –Appendix --
650			_aSystem identification _xMathematical models _9132536
650			_aIdentificación del sistema moderno matemático _9112766
650			_aSistemas dinamicos _9132034
700			_aMünchhof, Marco _969252
942			_cCG
999			_c36673 _d36673