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Combined parametric-nonparametric identification of block-oriented systems [electronic resource]

Combined parametric-nonparametric identification of block-oriented systems [electronic resource]

자료유형
E-Book(소장)
개인저자
Mzyk, Grzegorz.
서명 / 저자사항
Combined parametric-nonparametric identification of block-oriented systems [electronic resource] / Grzegorz Mzyk.
발행사항
Cham :   Springer International Publishing :   Imprint: Springer,   2014.  
형태사항
1 online resource (xvi, 238 p.) : ill.
총서사항
Lecture notes in control and information sciences,0170-8643 ; 454
ISBN
9783319035963
요약
This 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.
일반주기
Title from e-Book title page.  
내용주기
Hammerstein system -- Wiener system -- Wiener-Hammerstein (sandwich) system -- Large-scale interconnected systems -- Structure detection and model order selection -- Time-varying systems -- Simulation studies -- Summary.
서지주기
Includes bibliographical references and index.
이용가능한 다른형태자료
Issued also as a book.  
일반주제명
Large scale systems. Coupled problems (Complex systems). System theory. Control theory. Nonlinear control theory.
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020 ▼a 9783319035963
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082 0 4 ▼a 003/.71 ▼2 23
084 ▼a 003.71 ▼2 DDCK
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100 1 ▼a Mzyk, Grzegorz.
245 1 0 ▼a Combined parametric-nonparametric identification of block-oriented systems ▼h [electronic resource] / ▼c Grzegorz Mzyk.
260 ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c 2014.
300 ▼a 1 online resource (xvi, 238 p.) : ▼b ill.
490 1 ▼a Lecture notes in control and information sciences, ▼x 0170-8643 ; ▼v 454
500 ▼a Title from e-Book title page.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Hammerstein system -- Wiener system -- Wiener-Hammerstein (sandwich) system -- Large-scale interconnected systems -- Structure detection and model order selection -- Time-varying systems -- Simulation studies -- Summary.
520 ▼a This 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.
530 ▼a Issued also as a book.
538 ▼a Mode of access: World Wide Web.
650 0 ▼a Large scale systems.
650 0 ▼a Coupled problems (Complex systems).
650 0 ▼a System theory.
650 0 ▼a Control theory.
650 0 ▼a Nonlinear control theory.
830 0 ▼a Lecture notes in control and information sciences; ▼v 454.
856 4 0 ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-03596-3
945 ▼a KLPA
991 ▼a E-Book(소장)

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