White Noise Rejection in a Deterministic Setting

Abstract

This paper provides a framework for analyzing white noise disturbances in linear systems. Rather than the usual stochastic approach noise signals are described as elements in sets and the disturbance rejection properties of the system are considered in a worst case setting. The description is based on constraints in signal space directly verifiable on experimental data. These constraints can be given a representation compatible with standard robust control, allowing the formulation of white noise rejection problems in the presence of other sources of uncertainty. It is also shown how the framework can capture as a special case the usual stochastic approach, with equivalent results.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA462319

Entities

People

  • Fernando Paganini

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Asymptotic Normality
  • Delta Functions
  • Experimental Data
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Noise
  • Power Spectra
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Rejection
  • Standards
  • Stochastic Processes
  • Time Domain
  • White Noise

Readers

  • Operations Research
  • Radio communications and signal processing.
  • Software Engineering.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers