000 02887nam a22004935i 4500
001 978-3-319-03596-3
003 DE-He213
005 20200420220216.0
007 cr nn 008mamaa
008 131120s2014 gw | s |||| 0|eng d
020 _a9783319035963
_9978-3-319-03596-3
024 7 _a10.1007/978-3-319-03596-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aMzyk, Grzegorz.
_eauthor.
245 1 0 _aCombined Parametric-Nonparametric Identification of Block-Oriented Systems
_h[electronic resource] /
_cby Grzegorz Mzyk.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXVI, 238 p. 68 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v454
505 0 _aHammerstein system -- Wiener system -- Wiener-Hammerstein (sandwich) system -- Large-scale interconnected systems -- Structure detection and model order selection -- Time-varying systems -- Simulation studies -- Summary.
520 _aThis book considers a problem of block-oriented nonlinear dynamic system identification in the presence of random disturbances. This class of systems includes various interconnections of linear dynamic blocks and static nonlinear elements, e.g., Hammerstein system, Wiener system, Wiener-Hammerstein ("sandwich") system and additive NARMAX systems with feedback. Interconnecting signals are not accessible for measurement. The combined parametric-nonparametric algorithms, proposed in the book, can be selected dependently on the prior knowledge of the system and signals. Most of them are based on the decomposition of the complex system identification task into simpler local sub-problems by using non-parametric (kernel or orthogonal) regression estimation. In the parametric stage, the generalized least squares or the instrumental variables technique is commonly applied to cope with correlated excitations. Limit properties of the algorithms have been shown analytically and illustrated in simple experiments.
650 0 _aEngineering.
650 0 _aSystem theory.
650 0 _aStatistical physics.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
650 2 4 _aSystems Theory, Control.
650 2 4 _aNonlinear Dynamics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319035956
830 0 _aLecture Notes in Control and Information Sciences,
_x0170-8643 ;
_v454
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-03596-3
912 _aZDB-2-ENG
942 _cEBK
999 _c51584
_d51584