Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control

Jianjun Zhou; Finn Conrad

Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control

Jianjun Zhou
, Finn Conrad

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

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Abstract

The Generalized Predictive Controller (GPC) is extended to the systems with a generalized linear model structure which contains a number of choices of linear model structures. The Recursive Prediction Error Method (RPEM) is used to estimate the unknown parameters of the linear model structures to constitute a GPC self-tuner. Different linear model structures commonly used are compared and evaluated by applying them to the extended GPC self-tuner as well as to the special cases of the GPC, the GMV and MV self-tuners. The simulation results show how the choice of model structure affects the input-output behaviour of self-tuning controllers.

Original language	English
Title of host publication	American Control Conference
Place of Publication	Pittsburgh, PA, USA
Publisher	IEEE
Publication date	1989
Pages	2200-2205
Publication status	Published - 1989
Event	1989 American Control Conference - Pittsburgh, PA, United States Duration: 21 Jun 1989 → 23 Jun 1989

Conference

Conference	1989 American Control Conference
Country/Territory	United States
City	Pittsburgh, PA
Period	21/06/1989 → 23/06/1989

Bibliographical note

Copyright: 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control",

abstract = "The Generalized Predictive Controller (GPC) is extended to the systems with a generalized linear model structure which contains a number of choices of linear model structures. The Recursive Prediction Error Method (RPEM) is used to estimate the unknown parameters of the linear model structures to constitute a GPC self-tuner. Different linear model structures commonly used are compared and evaluated by applying them to the extended GPC self-tuner as well as to the special cases of the GPC, the GMV and MV self-tuners. The simulation results show how the choice of model structure affects the input-output behaviour of self-tuning controllers.",

author = "Jianjun Zhou and Finn Conrad",

note = "Copyright: 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 1989 American Control Conference ; Conference date: 21-06-1989 Through 23-06-1989",

year = "1989",

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pages = "2200--2205",

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publisher = "IEEE",

address = "United States",

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T1 - Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control

AU - Zhou, Jianjun

AU - Conrad, Finn

N1 - Copyright: 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 1989

Y1 - 1989

N2 - The Generalized Predictive Controller (GPC) is extended to the systems with a generalized linear model structure which contains a number of choices of linear model structures. The Recursive Prediction Error Method (RPEM) is used to estimate the unknown parameters of the linear model structures to constitute a GPC self-tuner. Different linear model structures commonly used are compared and evaluated by applying them to the extended GPC self-tuner as well as to the special cases of the GPC, the GMV and MV self-tuners. The simulation results show how the choice of model structure affects the input-output behaviour of self-tuning controllers.

AB - The Generalized Predictive Controller (GPC) is extended to the systems with a generalized linear model structure which contains a number of choices of linear model structures. The Recursive Prediction Error Method (RPEM) is used to estimate the unknown parameters of the linear model structures to constitute a GPC self-tuner. Different linear model structures commonly used are compared and evaluated by applying them to the extended GPC self-tuner as well as to the special cases of the GPC, the GMV and MV self-tuners. The simulation results show how the choice of model structure affects the input-output behaviour of self-tuning controllers.

M3 - Article in proceedings

SP - 2200

EP - 2205

BT - American Control Conference

PB - IEEE

CY - Pittsburgh, PA, USA

T2 - 1989 American Control Conference

Y2 - 21 June 1989 through 23 June 1989

ER -

Robust Comparison of the Linear Model Structures in Self-tuning Adaptive Control

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