The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

A Data-Rate Limited View of Adaptive Control

Author

Summary, in English

This paper addresses the problem of adaptively controlling a plant with unknown parameters using communication-limited feedback. Assuming known dynamics, expressions have recently been obtained for the minimum average feedback data rate required for asymptotic stabilisability. The main purpose of this work is to demonstrate that this minimum rate does not increase if the plant parameters are unknown, and the key elements of a stabilizing, minimum-rate policy are explicitly discussed. By regarding the uncertain plant as a higher-dimensional, nonlinear plant with unknown initial condition, it is shown that this result agrees with the recent concept of local topological feedback entropy. Extensions to the case of uncertain nonlinear plants are discussed.

Publishing year

2006

Language

English

Pages

1049-1053

Publication/Series

IFAC Proceedings Volumes : 14th IFAC Symposium on Identification and System Parameter Estimation

Volume

39:1

Document type

Conference paper

Publisher

Elsevier

Topic

  • Control Engineering

Keywords

  • adaptive control
  • data-rate limited control
  • entropy

Conference name

14th IFAC Symposium on Identification and System Parameter Estimation

Conference date

2006-03-29 - 2006-03-31

Conference place

Newcastle, Australia

Status

Published