Adaptive indirect weighted d-step-ahead control subject to an input amplitude constraint

Sheng-Fuu Lin; Chieh Hsiang Chen

doi:10.23919/ACC.1992.4792636

Adaptive indirect weighted d-step-ahead control subject to an input amplitude constraint

Sheng-Fuu Lin^*, Chieh Hsiang Chen

^*Corresponding author for this work

National Chiao Tung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We investigate the linear model tracking problem for systems with a constraint on the amplitude of the applied control signal. The estimation algorithm is Least Squares with Covariance Resetting. We explore how the constraint on the control input signal influences the tracking error. Furthermore, a necessary and sufficient condition is established to guarantee zero steady state tracking error for stable minimum phase systems.

Original language	English
Title of host publication	Proceedings of the American Control Conference
Publisher	Publ by American Automatic Control Council
Pages	2715-2719
Number of pages	5
ISBN (Print)	0780302109
DOIs	https://doi.org/10.23919/ACC.1992.4792636
State	Published - 1 Dec 1992
Event	Proceedings of the 1992 American Control Conference - Chicago, IL, USA Duration: 24 Jun 1992 → 26 Jun 1992

Publication series

Name	Proceedings of the American Control Conference
Volume	4
ISSN (Print)	0743-1619

Conference

Conference	Proceedings of the 1992 American Control Conference
City	Chicago, IL, USA
Period	24/06/92 → 26/06/92

Access to Document

10.23919/ACC.1992.4792636

Cite this

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title = "Adaptive indirect weighted d-step-ahead control subject to an input amplitude constraint",

abstract = "We investigate the linear model tracking problem for systems with a constraint on the amplitude of the applied control signal. The estimation algorithm is Least Squares with Covariance Resetting. We explore how the constraint on the control input signal influences the tracking error. Furthermore, a necessary and sufficient condition is established to guarantee zero steady state tracking error for stable minimum phase systems.",

author = "Sheng-Fuu Lin and Chen, {Chieh Hsiang}",

year = "1992",

month = dec,

day = "1",

doi = "10.23919/ACC.1992.4792636",

language = "English",

isbn = "0780302109",

series = "Proceedings of the American Control Conference",

publisher = "Publ by American Automatic Control Council",

pages = "2715--2719",

booktitle = "Proceedings of the American Control Conference",

note = "null ; Conference date: 24-06-1992 Through 26-06-1992",

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Lin, S-F & Chen, CH 1992, Adaptive indirect weighted d-step-ahead control subject to an input amplitude constraint. in Proceedings of the American Control Conference. Proceedings of the American Control Conference, vol. 4, Publ by American Automatic Control Council, pp. 2715-2719, Proceedings of the 1992 American Control Conference, Chicago, IL, USA, 24/06/92. https://doi.org/10.23919/ACC.1992.4792636

Adaptive indirect weighted d-step-ahead control subject to an input amplitude constraint. / Lin, Sheng-Fuu; Chen, Chieh Hsiang.

Proceedings of the American Control Conference. Publ by American Automatic Control Council, 1992. p. 2715-2719 (Proceedings of the American Control Conference; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chen, Chieh Hsiang

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N2 - We investigate the linear model tracking problem for systems with a constraint on the amplitude of the applied control signal. The estimation algorithm is Least Squares with Covariance Resetting. We explore how the constraint on the control input signal influences the tracking error. Furthermore, a necessary and sufficient condition is established to guarantee zero steady state tracking error for stable minimum phase systems.

AB - We investigate the linear model tracking problem for systems with a constraint on the amplitude of the applied control signal. The estimation algorithm is Least Squares with Covariance Resetting. We explore how the constraint on the control input signal influences the tracking error. Furthermore, a necessary and sufficient condition is established to guarantee zero steady state tracking error for stable minimum phase systems.

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