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Identification of linear systems : a pracatical guidline to accurate modeling /

This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar w...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Schoukens, J. (Johan)
Otros Autores: Pintelon, R. (Rik)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford ; New York : Pergamon Press, 1991.
Edición:First edition.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Schoukens, J.  |q (Johan) 
245 1 0 |a Identification of linear systems :  |b a pracatical guidline to accurate modeling /  |c J. Schoukens and R. Pintelon. 
250 |a First edition. 
264 1 |a Oxford ;  |a New York :  |b Pergamon Press,  |c 1991. 
300 |a 1 online resource (xxi, 332 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 315-324) and indexes. 
520 |a This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar with identification theory so that they have a sufficient background knowledge for understanding the methods described later. The main body of the book looks at the basic method used by the authors to estimate the parameter of the transfer function, how it is possible to optimize the excitation signals. Further chapters extend the estimation method proposed. Applications are then discussed and the book concludes with practical guidelines which illustrate the method and offer some rules-of-thumb. 
588 0 |a Print version record. 
505 0 |a Front Cover; Identification of Linear System: A Practical Guideline to Accurate Modeling; Copyright Page; Dedication; Table of Contents; Acknowledgement; Preface; Notations; CHAPTER 1. A GENERAL INTRODUCTION TO PARAMETER ESTIMATION; 1.1 System Identification-Parameter Estimation : why did it become important in measurement techniques; 1.2 Steps in the identification process; 1.3 Parameter estimation, an example : measurement of a resistor; 1.4 The ideal estimator; 1.5 A statistical approach to the estimation problem; 1.6 Summary; CHAPTER 2. A REVIEW OF ESTIMATION METHODS AND THEIR APPUCATIONS. 
505 8 |a 2.1 Introduaion2.2 Motives in focusing on the least squares technique; 2.3 Parametric models / non-paramteric models; 2.4 Parametric models; 2.5 Time domain versus frequency domain; 2.6 Errors due to noise on the independent variables; 2.7 Summary; CHAPTER 3. A MAXIMUM LIKELIHOOD ESTIMATOR FOR LINEAR TIME INVARIANT SYSTEMS; 3.1 Introduction; 3.2 Measurement of a resistance; 3.3 Estimation of transfer functions : a practical approach; 3.4 Estimation of transfer functions : a theoretical approach; 3.5 Comparison with other methods; 3.6 Numerical considerations; 3.7 Simulations. 
505 8 |a 3.8 Extensions of the model3.9 Application of ELiS to experimental data; 3.10 Conclusions; Appendix to Chapter 3; CHAPTER 4. DESIGN OF EXCITATON SIGNALS; 4.1 Introduaion; 4.2 Optimization of the time domain behaviour of excitation signals; 4.3 Optimizing the frequency domain behaviour of excitation signals : design of optimized power spectra; 4.4 Summary; Appendix 1 : Crest factor minimization of multisines; Appendix 2 : Interpretation of the dispersion function; CHAPTER 5. MODEL SELECnON; 5.1 Introduaion; 5.2 Verification of model validity; 5.3 Influence of selecting an over-complex model. 
505 8 |a 5.4 Introduction of the model complexity in the cost function5.5 Study of the influence of model errors on the behaviour of the cost function; 5.6 Optimal experiment strategy; 5.7 Examples; CHAPTER 6. ESTIMATION OF LINEAR TIME INVAIOANT SYSTEMS WITH DELAY; 6.1 Introduction; 6.2 The estimation algorithm and its properties; 6.3 Simulations; 6.4 Conclusion; CHAPTER 7. PHASE CORRECTION OF LINEAR INVARIANT SYSTEMS WITH DIGITAL ALLPASS FILTERS; 7.1 Introduction; 7.2 Phase distortion; 7.3 The phase correction algorithm; 7.4 Optimization strategy; 7.5 Comparison with existing methods. 
505 8 |a 7.6 Noise sensitivity7.7 Experimental results; 7.8 Conclusion; Appendix to Chapter 7; CHAPTER 8. APPLICA1ON OF ELIS TO MEASUREMENT PROBLEMS; 8.1 Introduaion; 8.2 Modal analysis; 8.3 Flight flutter data analysis; 8.4 Time domain reflectometry; 8.5 Electrical machines; 8.6 Equalization of a data acquisition channel; 8.7 Design of digital differentiators and integrators; 8.8 Conclusion; Appendix to Chapter 8; CHAPTER 9. A GUIDEUNE FOR TRANSFER FUNCTION ES1MATION; 9.1 Introduction; 9.2 Accurate modeling of a linear analog system; 9.3 Modeling recipe; References; Author index; Subject index. 
546 |a English. 
650 0 |a Control theory. 
650 0 |a System analysis. 
650 2 |a Systems Analysis  |0 (DNLM)D013597 
650 6 |a Th�eorie de la commande.  |0 (CaQQLa)201-0012168 
650 6 |a Analyse de syst�emes.  |0 (CaQQLa)201-0007674 
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700 1 |a Pintelon, R.  |q (Rik) 
776 0 8 |i Print version:  |a Schoukens, J. (Johan).  |t Identification of linear systems.  |b First edition  |z 008040734X  |w (DLC) 91002508  |w (OCoLC)23218230 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780080407340  |z Texto completo