A stable adaptive implementation of the internal model principle

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication29th IEEE Conference on Decision and Control
PublisherIEEE
Pages3241-3246
Volume6
Publication statusPublished - 1990
Externally publishedYes

Conference

Title29th IEEE Conference on Decision and Control
PlaceUnited States
CityHonolulu
Period5 - 7 December 1990

Abstract

The authors provide a novel adaptive implementation of the internal model principle for linear time-invariant systems, which allows for rejection of unknown deterministically modeled disturbances. The minimal representation of the system model is used for parameter estimation, and the global convergence and stability of the algorithm are investigated with unmodeled dynamics. With proper modification of parameter estimation algorithm, the authors present global convergence and stability for the algorithm without the requirement of persistent excitation condition. Some simulation results are given to support the analysis.

Citation Format(s)

A stable adaptive implementation of the internal model principle. / Feng, G.; Palaniswami, M.
29th IEEE Conference on Decision and Control. Vol. 6 IEEE, 1990. p. 3241-3246.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review