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Sampled-Data Models for Linear and Nonlinear Systems

Sampled-data Models for Linear and Nonlinear Systems provides a fresh new look at a subject with which many researchers may think themselves familiar. Rather than emphasising the differences between sampled-data and continuous-time systems, the authors proceed from the premise that, with modern samp...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Yuz, Juan I. (Autor), Goodwin, Graham C. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Communications and Control Engineering,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I: Deterministic Systems
  • Background on Sampling of Signals.-Sampled Data Models for Linear Deterministic Systems
  • Incremental Sampled Data Models
  • Asymptotic Sampling Zeros
  • Generalized Hold Devices
  • Robustness
  • Approximate Models for Linear Deterministic Systems
  • Approximate Models for Deterministic Nonlinear Systems
  • Applications of Approximate Sampled-data Models in Estimation and Control
  • Part II: Stochastic Systems
  • Background on Sampling of Stochastic Signals
  • Sampled-data Models for Linear Stochastic Systems
  • Incremental Stochastic Sampled-data Models.- Asymptotic Sampling Zeros for Linear Stochastic Systems
  • Generalized Sampling Filters
  • Approximate Sampled-data Models for Linear Stochastic Systems
  • Stochastic Nonlinear Systems
  • Approximate Sampled-data Models for Nonlinear Stochastic Systems
  • Applications of Approximate Stochastic Sampled-data Models
  • Part III: Embellishments and Extensions
  • The Euler-Frobenius Polynominals
  • Models for Intersample Response
  • Approximate Sampled-data Models for Fractional Order Systems.