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| 024 | 3 | _a9781118287422 | |
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_a10.1002/9781118287422 _bWiley InterScience _nhttp://www3.interscience.wiley.com |
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_aQA402 _b.P56 2012 |
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_a003/.1 _223 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aPintelon, R. _q(Rik) |
|
| 245 | 1 | 0 |
_aSystem identification : _ba frequency domain approach / _cRik Pintelon, Johan Schoukens. |
| 250 | _a2nd ed. | ||
| 260 |
_aHoboken, N.J. : _bWiley ; _aPiscataway, NJ : _bIEEE Press, _c©2012. |
||
| 300 |
_a1 online resource (xliv, 743 pages) : _billustrations |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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| 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. |
| 500 | _a"MATLAB examples." | ||
| 504 | _aIncludes bibliographical references and indexes. | ||
| 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 |
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_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118287422 _zWiley Online Library [Free Download only for SUST IP] |
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