Model reference adaptive control for nonminimum-phase systems using a surrogate tracking error

Jesse B. Hoagg

doi:10.1109/CDC.2011.6160763

Model reference adaptive control for nonminimum-phase systems using a surrogate tracking error

Jesse B. Hoagg

Mechanical and Aerospace Engineering

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

8 Scopus citations

Abstract

This paper presents a direct model reference adaptive controller for single-input, single-output, linear, continuous-time systems that are possibly nonminimum phase, provided that the nonminimum-phase zeros are known. The adaptive 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	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages	360-365
Number of pages	6
DOIs	https://doi.org/10.1109/CDC.2011.6160763
State	Published - 2011
Event	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States Duration: Dec 12 2011 → Dec 15 2011

Publication series

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

Conference

Conference	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Country/Territory	United States
City	Orlando, FL
Period	12/12/11 → 12/15/11

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC.2011.6160763

Cite this

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title = "Model reference adaptive control for nonminimum-phase systems using a surrogate tracking error",

abstract = "This paper presents a direct model reference adaptive controller for single-input, single-output, linear, continuous-time systems that are possibly nonminimum phase, provided that the nonminimum-phase zeros are known. The adaptive 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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Hoagg, JB 2011, Model reference adaptive control for nonminimum-phase systems using a surrogate tracking error. in 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011., 6160763, Proceedings of the IEEE Conference on Decision and Control, pp. 360-365, 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Orlando, FL, United States, 12/12/11. https://doi.org/10.1109/CDC.2011.6160763

Model reference adaptive control for nonminimum-phase systems using a surrogate tracking error. / Hoagg, Jesse B.
2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011. 2011. p. 360-365 6160763 (Proceedings of the IEEE Conference on Decision and Control).

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

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AB - This paper presents a direct model reference adaptive controller for single-input, single-output, linear, continuous-time systems that are possibly nonminimum phase, provided that the nonminimum-phase zeros are known. The adaptive 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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Model reference adaptive control for nonminimum-phase systems using a surrogate tracking error

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