Performance Bounds in Robust Filtering and Smoothing.

Abstract

Filtering and smoothing within a convex and closed family of stationary processes is considered. The performance criterion adopted is the mean square error. Using a saddle point game approach, we develop two classes of lower bounds for this error. Those bounds can be used as evaluation measure in the design of robust filters and smoothers. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 20, 1982
Accession Number
ADA125723

Entities

People

  • P. Papantoni-kazakos

Organizations

  • University of Connecticut

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Computer Science
  • Data Analysis
  • Data Science
  • Electrical Engineering
  • Engineering
  • Filters
  • Filtration
  • Information Science
  • Linear Filtering
  • Notation
  • Order Statistics
  • Random Variables
  • Stationary
  • Stationary Processes
  • Statistics
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Operations Research