Multi-Output System Identification Using Evolutionary Programming

Abstract

Evolutionary programming (EP) has been demonstrated to be an effective method of system identification of single-input-single-output (SISO) systems. This paper investigates the use of EP in system identification of single-input-multioutput (SIMO) systems. EP is used to identify parameters of a linear, time-invariant system. Specifically, this paper examines the identification of SIMO systems whose measurements can contain different amounts of noise. A cost function is proposed to take into account disparate noisy observations.... Evolutionary programming (EP), Single-input-single-output (SISO).

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Document Details

Document Type
Technical Report
Publication Date
Nov 04, 1991
Accession Number
ADA264556

Entities

People

  • B. L. Andersen
  • J. R. Mcdonnell
  • W. C. Page

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Programming
  • Computers
  • Data Science
  • Information Science
  • Machine Learning
  • Measurement
  • Multiple Input Multiple Output
  • Mutations
  • Neural Networks
  • Observation
  • Ocean Surveillance
  • Personal Information Managers
  • Random Variables
  • Standards
  • Statistics

Fields of Study

  • Computer science
  • Engineering

Readers

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