Channel and System Modelling for Identification,

Abstract

In these lectures a class of models for input-output systems, suitable for use in identification is discussed. These models are appropriate in particular when the prior information is in nonparametric form. The models can be used to represent a rather large variety of systems, nonlinear as well as linear, but they are somewhat restricted in their application because noise is allowed only in the observation of the system output. The greater part of the discussion is intuitive and nonrigorous, but a brief section is included giving reference to the supporting mathematical theory.

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1974
Accession Number
ADA013875

Entities

People

  • William L. Root

Organizations

  • University of Michigan

Tags

DTIC Thesaurus Topics

  • Acquisition
  • Identification
  • Observation

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design