System identification : tutorials presented at the 5th IFAC Symposium on Identification and System Parameter Estimation, F.R. Germany, September 1979 /

System Identification is a special section of the International Federation of Automatic Control (IFAC)-Journal Automatica that contains tutorial papers regarding the basic methods and procedures utilized for system identification. Topics include modeling and identification; step response and frequen...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores Corporativos: IFAC Symposium on Identification and System Parameter Estimation Darmstadt, Germany, International Federation of Automatic Control
Otros Autores: Isermann, Rolf
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Oxford ; New York : Published for the International Federation of Automatic Control by Pergamon Press, 1981.
Colección:IFAC proceedings series.
Temas:
System identification > Congresses.
System analysis > Congresses.
Systems engineering > Congresses.
Identification des syst�emes > Congr�es.
Analyse de syst�emes > Congr�es.
Ing�enierie des syst�emes > Congr�es.
TECHNOLOGY & ENGINEERING > Engineering (General)
System analysis
System identification
Systems engineering
Congress
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congr�es.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; System Identification; Copyright Page; Table of Contents; Preface; Chapter 1. Principles of Model Building and Identification; 1. WHAT IS MODEL BUILDING?; 2. HOW TO DESCRIBE A DYNAMIC SYSTEM MATHEMATICALLY; 3. THEORETICAL MODELLING; 4. EXPERIMENTAL ANALYSIS: IDENTIFICATION; 5. MODEL BUILDING BY COMBINING THEORETICAL AND EXPERIMENTAL ANALYSIS; 6. CONCLUSIONS; REFERENCES; Chapter 2. Step Response and Frequency Response Methods; INTRODUCTION; METHODS FOR NONPERIODIC TEST SIGNALS; METHODS FOR PERIODIC TEST SIGNAL; CONCLUSION; REFERENCES; Chapter 3. Correlation Methods.
  • 1. INTRODUCTION2. STOCHASTIC PROCESSES; 3. PROPERTIES OF AUTOCORRELATION FUNCTIONS; 4. ANALYTICAL COMPUTATION OF SOME AUTOCORRELATION FUNCTIONS; 5. DETERMINATION OF CORRELATION FUNCTIONS OF DATA; 6. PSEUDO-RANDOM BINARY SIGNALS; 7. DETERMINATION OF SYSTEM WEIGHTING FUNCTION USING P.R.B.S.; 8. SPECTRAL ANALYSIS; 9. APPLICATIONS OF CORRELATION; 10. CONCLUSIONS; REFERENCES; Chapter 4. Least Squares Parameter Estimation; 1. INTRODUCTION; 2. BASIC RELATIONS; 3. ANALYTIC SOLUTION OF THE LEAST SQUARES; 4. RECURSIVE SOLUTION OF THE LEAST SQUARES; 5. INSTRVMENTAL VARIABLE METHOD-IV.
  • 6. GENERALIZED LEAST SQUARES-GLS7. EXTENDED LEAST SQUARES-ELS; 8. DISCRETE SQUARE ROOT FILTERING; 9. MODIFIED SQUARE ROOT FILTERING; 10. COMPLEMENTARY REMARKS; 11. CONCLUSIONS; REFERENCES; Chapter 5. Maximum Likelihood and Prediction Error Methods; 1. INTRODUCTION; 2. THE MAXIMUM LIKELIHOOD METHOD; 3. ESTIMATING PARAMETERS IN DYNAMICAL SYSTEMS; 4. ESTIMATION THEORY; 5. INTERACTIVE COMPUTING; 6. PRACTICAL ASPECTS; REFERENCES; Chapter 6. Practical Aspects of Process Identification; 1. INTRODUCTION; 2. SELECTION OF INPUT SIGNALS; 3. SELECTION OF SAMPLING TIME.
  • 4. off-line and on-line identification5. comparison of parameter-estimation methods; 6. data filtering; 7. model order testing and model verification; 8. program packages for process identification; 9. concluding remarks; references.

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