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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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Main Authors: Shi, Dawei. (Author, http://id.loc.gov/vocabulary/relators/aut), Shi, Ling. (http://id.loc.gov/vocabulary/relators/aut), Chen, Tongwen. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Studies in Systems, Decision and Control, 41
Subjects:
Control engineering.
Probabilities.
Power electronics.
System theory.
Control and Systems Theory.
Probability Theory and Stochastic Processes.
Power Electronics, Electrical Machines and Networks.
Systems Theory, Control.
Online Access:https://doi.org/10.1007/978-3-319-26606-0
Table of Contents:
  • 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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