Adaptive control for a discrete-time first-order nonlinear system with both parametric and non-parametric uncertainties

Hongbin Ma*, Kai Yew Lum, Shuzhi Sam Ge

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Citations (Scopus)

Abstract

A simple first-order discrete-time nonlinear system, which has both parametric uncertainty and nonparametric uncertainty, is studied in this paper. The uncertainty of non-parametric part is characterized by a Lipschitz constant L, and the nonlinearity of parametric part is characterized by an exponent index b. An adaptive controller is constructed for this model in both cases of b = 1 and b > 1, and its closed-loop stability is established under some conditions. When 6 = 1, the conditions given reveal the magic number 3/2 + √2 which appeared in previous study on capability and limitations of the feedback mechanism.

Original languageEnglish
Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4839-4844
Number of pages6
ISBN (Print)1424414989, 9781424414987
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
Duration: 12 Dec 200714 Dec 2007

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference46th IEEE Conference on Decision and Control 2007, CDC
Country/TerritoryUnited States
CityNew Orleans, LA
Period12/12/0714/12/07

Keywords

  • Adaptive control
  • Capability and limitation
  • Feedback mechanism
  • Non-parametric uncertainty
  • Parametric uncertainty

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