04527cam a2200745Ka 4500 ocn793103992 OCoLC 20171114095716.0 m o d cr cn||||||||| 120504s2012 njua ob 001 0 eng d 9781118287422 (electronic bk.) 1118287428 (electronic bk.) 9780470640371 (cloth) 0470640375 (cloth) 9781118287262 1118287266 9781118270677 1118270673 9781118287392 (electronic bk.) 1118287398 (electronic bk.) 9786613651617 9781118287422 AU@ 000049250847 AU@ 000049569213 DEBBG BV041828940 DEBSZ 372881777 DEBSZ 400042649 DEBSZ 431072981 NLGGC 342136089 NZ1 15916314 (OCoLC)793103992 (OCoLC)785811572 (OCoLC)795008484 (OCoLC)833851043 (OCoLC)849508079 10.1002/9781118287422 Wiley InterScience http://www3.interscience.wiley.com DG1 eng pn DG1 COO E7B DEBSZ OCLCO OCLCQ CDX IEEEE OCLCA ZMC YDXCP EBLCP N$T NLGGC OCLCF UKDOC OCLCQ DG1 MAIN QA402 .P56 2012 SCI 064000 bisacsh TEC 029000 bisacsh 003/.1 23 Pintelon, R. (Rik) System identification : a frequency domain approach / Rik Pintelon, Johan Schoukens. [electronic resource] 2nd ed. Hoboken, N.J. : Wiley ; Piscataway, NJ : IEEE Press, ©2012. 1 online resource (xliv, 743 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier "MATLAB examples." Includes bibliographical references and indexes. An Introduction to Identification -- Measurement of Frequency Response Functions -- Standard Solutions -- Frequency Response Function Measurements in the Presence of Nonlinear Distortions -- Detection, Quantification, and Qualification of Nonlinear Distortions in FRF Measurements -- Design of Excitation Signals -- Models of Linear Time-Invariant Systems -- Measurement of Frequency Response Functions -- The Local Polynomial Approach -- An Intuitive Introduction to Frequency Domain Identification -- Estimation with Known Noise Model -- Estimation with Unknown Noise Model -- Standard Solutions -- Model Selection and Validation -- Estimation with Unknown Noise Model -- The Local Polynomial Approach -- Basic Choices in System Identification -- Guidelines for the User -- Some Linear Algebra Fundamentals -- Some Probability and Stochastic Convergence Fundamentals -- Properties of Least Squares Estimators with Deterministic Weighting -- Properties of Least Squares Estimators with Stochastic Weighting -- Identification of Semilinear Models -- Identification of Invariants of (Over)Parameterized Models. System 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. Print version record. System identification. Mathematics. Computer science. SCIENCE System Theory. bisacsh TECHNOLOGY & ENGINEERING Operations Research. bisacsh System identification. fast (OCoLC)fst01141418 Electronic books. Schoukens, J. (Johan) Wiley InterScience (Online service) Print version: Pintelon, R. (Rik). System identification. 2nd ed. Hoboken, N.J. : Wiley ; Piscataway, NJ : IEEE Press, ©2012 9780470640371 (DLC) 2011044212 (OCoLC)762768134 http://onlinelibrary.wiley.com/book/10.1002/9781118287422 Wiley Online Library ddc BK 205888 205888