Multi-input multi-output direct model reference adaptive control for systems with known nonminimum-phase zeros

Jesse B. Hoagg

doi:10.1109/acc.2012.6315601

Multi-input multi-output direct model reference adaptive control for systems with known nonminimum-phase zeros

Jesse B. Hoagg

Mechanical and Aerospace Engineering

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

4 Scopus citations

Abstract

This paper presents a direct model reference adaptive controller for multi-input multi-output linear systems with known nonminimum-phase zeros. This controller uses a surrogate tracking error, which approximates the true tracking error. The recursive-least-squares-based adaptive law is developed by minimizing an integral quadratic cost of the surrogate tracking error.

Original language	English
Title of host publication	2012 American Control Conference, ACC 2012
Pages	338-343
Number of pages	6
DOIs	https://doi.org/10.1109/acc.2012.6315601
State	Published - 2012
Event	2012 American Control Conference, ACC 2012 - Montreal, QC, Canada Duration: Jun 27 2012 → Jun 29 2012

Publication series

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

Conference

Conference	2012 American Control Conference, ACC 2012
Country/Territory	Canada
City	Montreal, QC
Period	6/27/12 → 6/29/12

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/acc.2012.6315601

Cite this

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title = "Multi-input multi-output direct model reference adaptive control for systems with known nonminimum-phase zeros",

abstract = "This paper presents a direct model reference adaptive controller for multi-input multi-output linear systems with known nonminimum-phase zeros. This controller uses a surrogate tracking error, which approximates the true tracking error. The recursive-least-squares-based adaptive law is developed by minimizing an integral quadratic cost of the surrogate tracking error.",

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AB - This paper presents a direct model reference adaptive controller for multi-input multi-output linear systems with known nonminimum-phase zeros. This controller uses a surrogate tracking error, which approximates the true tracking error. The recursive-least-squares-based adaptive law is developed by minimizing an integral quadratic cost of the surrogate tracking error.

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M3 - Conference contribution

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Multi-input multi-output direct model reference adaptive control for systems with known nonminimum-phase zeros

Abstract

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Conference

ASJC Scopus subject areas

Access to Document

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