Event-Based State Estimation A Stochastic Perspective /

This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Shi, Dawei (Autor), Shi, Ling (Autor), Chen, Tongwen (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Studies in Systems, Decision and Control, 41
Temas:
Control engineering.
Probabilities.
Electric power production.
System theory.
Control theory.
Control and Systems Theory.
Probability Theory.
Electrical Power Engineering.
Systems Theory, Control .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Linear Gaussian Systems and Event-Based State Estimation
  • Event-Triggered Sampling
  • Approximate Optimal Filtering Approaches
  • Constrained Optimization Approach
  • Set-Valued Filtering Approach
  • Probabilistic Approach
  • Communications Rate Analysis
  • Open Problems
  • Appendices: Brief Review of Probability Theory; Linear Estimation Theory.

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