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System Identification An Introduction /

System Identification: an Introduction shows the (student) reader how to approach the system identification problem in a systematic fashion. Essentially, system identification is an art of modelling, where appropriate choices have to be made concerning the level of approximation, given prior system&...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Keesman, Karel J. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Advanced Textbooks in Control and Signal Processing,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Part I: Data-based Identification
  • System Response Methods
  • Frequency Response Methods
  • Correlation Methods
  • Part II: Time-invariant Systems Identification
  • Static Systems Identification
  • Dynamic Systems Identification
  • Part III: Time-varying Systems Identification
  • Time-varying Static Systems Identification
  • Time-varying Dynamic Systems Identification
  • Part IV: Model Validation
  • Model Validation Techniques
  • Part V: Appendices: Matrix Algebra; Statistics; Laplace, Fourier and z-Transforms; Bode Diagrams; Shift Operator Calculus; Recursive Least-squares Derivation; Dissolved Oxygen Data.