000 04527cam a2200745Ka 4500
001 ocn793103992
003 OCoLC
005 20171114095716.0
006 m o d
007 cr cn|||||||||
008 120504s2012 njua ob 001 0 eng d
020 _a9781118287422
_q(electronic bk.)
020 _a1118287428
_q(electronic bk.)
020 _a9780470640371
_q(cloth)
020 _a0470640375
_q(cloth)
020 _a9781118287262
020 _a1118287266
020 _a9781118270677
020 _a1118270673
020 _a9781118287392
_q(electronic bk.)
020 _a1118287398
_q(electronic bk.)
024 8 _a9786613651617
024 3 _a9781118287422
029 1 _aAU@
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029 1 _aAU@
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029 1 _aDEBBG
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029 1 _aDEBSZ
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035 _a(OCoLC)793103992
_z(OCoLC)785811572
_z(OCoLC)795008484
_z(OCoLC)833851043
_z(OCoLC)849508079
037 _a10.1002/9781118287422
_bWiley InterScience
_nhttp://www3.interscience.wiley.com
040 _aDG1
_beng
_epn
_cDG1
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049 _aMAIN
050 4 _aQA402
_b.P56 2012
072 7 _aSCI
_x064000
_2bisacsh
072 7 _aTEC
_x029000
_2bisacsh
082 0 4 _a003/.1
_223
100 1 _aPintelon, R.
_q(Rik)
245 1 0 _aSystem identification : a frequency domain approach /
_cRik Pintelon, Johan Schoukens.
_h[electronic resource]
250 _a2nd ed.
260 _aHoboken, N.J. :
_bWiley ;
_aPiscataway, NJ :
_bIEEE Press,
_c©2012.
300 _a1 online resource (xliv, 743 pages) :
_billustrations
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _a"MATLAB examples."
504 _aIncludes bibliographical references and indexes.
505 0 0 _tAn Introduction to Identification --
_tMeasurement of Frequency Response Functions -- Standard Solutions --
_tFrequency Response Function Measurements in the Presence of Nonlinear Distortions --
_tDetection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements --
_tDesign of Excitation Signals --
_tModels of Linear Time-Invariant Systems --
_tMeasurement of Frequency Response Functions -- The Local Polynomial Approach --
_tAn Intuitive Introduction to Frequency Domain Identification --
_tEstimation with Known Noise Model --
_tEstimation with Unknown Noise Model -- Standard Solutions --
_tModel Selection and Validation --
_tEstimation with Unknown Noise Model -- The Local Polynomial Approach --
_tBasic Choices in System Identification --
_tGuidelines for the User --
_tSome Linear Algebra Fundamentals --
_tSome Probability and Stochastic Convergence Fundamentals --
_tProperties of Least Squares Estimators with Deterministic Weighting --
_tProperties of Least Squares Estimators with Stochastic Weighting --
_tIdentification of Semilinear Models --
_tIdentification of Invariants of (Over)Parameterized Models.
520 _aSystem identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering. Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identific.
588 0 _aPrint version record.
650 0 _aSystem identification.
650 4 _aMathematics.
650 4 _aComputer science.
650 7 _aSCIENCE
_xSystem Theory.
_2bisacsh
650 7 _aTECHNOLOGY & ENGINEERING
_xOperations Research.
_2bisacsh
650 7 _aSystem identification.
_2fast
_0(OCoLC)fst01141418
655 4 _aElectronic books.
700 1 _aSchoukens, J.
_q(Johan)
710 2 _aWiley InterScience (Online service)
776 0 8 _iPrint version:
_aPintelon, R. (Rik).
_tSystem identification.
_b2nd ed.
_dHoboken, N.J. : Wiley ; Piscataway, NJ : IEEE Press, ©2012
_z9780470640371
_w(DLC) 2011044212
_w(OCoLC)762768134
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118287422
_zWiley Online Library
942 _2ddc
_cBK
999 _c205888
_d205888