A stable adaptive implementation of the internal model principle

G. Feng; M. Palaniswami

doi:10.1109/CDC.1990.203390

A stable adaptive implementation of the internal model principle

G. Feng
, M. Palaniswami

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

5 Citations (Scopus)

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.

Original language	English
Title of host publication	29th IEEE Conference on Decision and Control
Publisher	IEEE
Pages	3241-3246
Volume	6
DOIs	https://doi.org/10.1109/CDC.1990.203390
Publication status	Published - 1990
Externally published	Yes
Event	29th IEEE Conference on Decision and Control - Honolulu, United States Duration: 5 Dec 1990 → 7 Dec 1990

Conference

Conference	29th IEEE Conference on Decision and Control
Place	United States
City	Honolulu
Period	5/12/90 → 7/12/90

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10.1109/CDC.1990.203390

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title = "A stable adaptive implementation of the internal model principle",

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.",

author = "G. Feng and M. Palaniswami",

year = "1990",

doi = "10.1109/CDC.1990.203390",

language = "English",

volume = "6",

pages = "3241--3246",

booktitle = "29th IEEE Conference on Decision and Control",

publisher = "IEEE",

address = "United States",

note = "29th IEEE Conference on Decision and Control ; Conference date: 05-12-1990 Through 07-12-1990",

}

TY - GEN

T1 - A stable adaptive implementation of the internal model principle

AU - Feng, G.

AU - Palaniswami, M.

PY - 1990

Y1 - 1990

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0025542499

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0025542499&origin=recordpage

U2 - 10.1109/CDC.1990.203390

DO - 10.1109/CDC.1990.203390

M3 - RGC 32 - Refereed conference paper (with host publication)

VL - 6

SP - 3241

EP - 3246

BT - 29th IEEE Conference on Decision and Control

PB - IEEE

T2 - 29th IEEE Conference on Decision and Control

Y2 - 5 December 1990 through 7 December 1990

ER -

A stable adaptive implementation of the internal model principle

Abstract

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