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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
Tabla de Contenidos:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.