skip to main content
10.1145/1479064.1479177acmotherconferencesArticle/Chapter ViewAbstractPublication PagesafipsConference Proceedingsconference-collections
research-article
Free access

Adaptive memory trackers

Published: 16 May 1972 Publication History

Abstract

This introduces a mathematical model for a control process called an adaptive memory tracker. The control or adaptive variable is the memory length (i.e., retention time) of a filter model, rather than other parameters within the filter model. The adaptation in memory length is achieved through the use of two different types of filters which are based on this filter model. These filters are called shrinking memory and penetrating memory recursive filters, and their application as a function of an error signal decreases or increases, respectively, the memory length of the filter model. An example of this is shown diagrammatically in Figure 1.

References

[1]
T R Benedict G W Bordner Synthesis of an optimal set of radar track-while-scan smoothing equations IRE Transactions on Automatic Control pp 27--36 July 1962
[2]
H R Simpson Performance measures and optimization condition for a third-order sampled-data tracker IEEE Transactions on Automatic Control pp 182--183 April 1963
[3]
E Nagel The structure of science---Problems in the logic of scientific explanation Harcourt Brace and World 1961
[4]
L Apostel Towards the formal study of models in the non-formal sciences in the concept and the role of the model in mathematics and natural social sciences Editor H Freudenthel Proceedings of the Colloquim Sponsored by the Division of Philosophy of Sciences organized at Ultrecht January 1960 by H. Freudenthel Reidel Dordrecht 1961
[5]
W R Ashby An introduction to cybernetics Chapman and Hall Ltd 1956
[6]
D A Norman Editor Models of human memory Academic Press 1970
[7]
J M Nielson Memory and amnesia San Lucas Press 1958
[8]
G Epstein On finite---Memory recursive filters IEEE Transactions on Information Theory Vol IT 16 No 4 pp 486--487 July 1970
[9]
M Blum Recursion formulas for growing memory digital filters IRE Transactions on Information Theory Vol IT 4 pp 24--30 March 1958
[10]
R E Kalman A new approach to linear filtering and prediction problems Journal of Basic Engineering Vol 82D pp 35--45 March 1960
[11]
N Levine A new technique for increasing the flexibility of recursive least squares data smoothing The Bell System Technical Journal pp 821--840 May 1961
[12]
W B Cannon The wisdom of the body NY 1932
[13]
A L Stinchcombe Constricting social theories Harcourt Brace and World 1968
[14]
M E Bitterman The evolution of intelligence Scientific American Vol 212 No 1 pp 92--100 January 1965
[15]
H W Sorenson Least-squares estimation from Gauss to Kalman IEEE Spectrum pp 63--68 July 1970
[16]
G Epstein Comment on 'on finite-memory recursive filters' IEEE Transactions on Information Theory Vol IT 17 No 5 September 1971
[17]
G Epstein A note on the derivation of finite-memory almost-least-squares recursive filters IEEE Transactions on Information Theory Vol IT-17 No 6 November 1971

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
AFIPS '71 (Fall): Proceedings of the November 16-18, 1971, fall joint computer conference
November 1971
697 pages
ISBN:9781450379106
DOI:10.1145/1479064
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • AFIPS: American Federation of Information Processing Societies

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 May 1972

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 64
    Total Downloads
  • Downloads (Last 12 months)8
  • Downloads (Last 6 weeks)3
Reflects downloads up to 20 Feb 2025

Other Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media