Cargando…

System Identification with Quantized Observations

This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Wang, Le Yi (Autor), Yin, G. George (Autor), Zhang, Ji-Feng (Autor), Zhao, Yanlong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2010.
Edición:1st ed. 2010.
Colección:Systems & Control: Foundations & Applications,
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Overview
  • System Settings
  • Stochastic Methods for Linear Systems
  • Empirical-Measure-Based Identification: Binary-Valued Observations
  • Estimation Error Bounds: Including Unmodeled Dynamics
  • Rational Systems
  • Quantized Identification and Asymptotic Efficiency
  • Input Design for Identification in Connected Systems
  • Identification of Sensor Thresholds and Noise Distribution Functions
  • Deterministic Methods for Linear Systems
  • Worst-Case Identification under Binary-Valued Observations
  • Worst-Case Identification Using Quantized Observations
  • Identification of Nonlinear and Switching Systems
  • Identification of Wiener Systems with Binary-Valued Observations
  • Identification of Hammerstein Systems with Quantized Observations
  • Systems with Markovian Parameters
  • Complexity Analysis
  • Space and Time Complexities, Threshold Selection, Adaptation
  • Impact of Communication Channels on System Identification.