Model Predictive Control based on Finite Impulse Response Models

Guru Prasath; John Bagterp Jørgensen

doi:10.1109/ACC.2008.4586531

Model Predictive Control based on Finite Impulse Response Models

Guru Prasath, John Bagterp Jørgensen

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Abstract

We develop a regularized l2 finite impulse response (FIR) predictive controller with input and input-rate constraints. Feedback is based on a simple constant output disturbance filter. The performance of the predictive controller in the face of plant-model mismatch is investigated by simulations and related to the uncertainty of the impulse response coefficients. The simulations can be used to benchmark l2 MPC against FIR based robust MPC as well as to estimate the maximum performance improvements by robust MPC.

Original language	English
Title of host publication	American Control Conference 2008
Publisher	IEEE
Publication date	2008
ISBN (Print)	978-1-4244-2078-0
DOIs	https://doi.org/10.1109/ACC.2008.4586531
Publication status	Published - 2008
Event	2008 American Control Conference - Seattle, United States Duration: 11 Jun 2008 → 13 Jun 2008

Conference

Conference	2008 American Control Conference
Country/Territory	United States
City	Seattle
Period	11/06/2008 → 13/06/2008

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Copyright: 2008 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 = "Model Predictive Control based on Finite Impulse Response Models",

abstract = "We develop a regularized l2 finite impulse response (FIR) predictive controller with input and input-rate constraints. Feedback is based on a simple constant output disturbance filter. The performance of the predictive controller in the face of plant-model mismatch is investigated by simulations and related to the uncertainty of the impulse response coefficients. The simulations can be used to benchmark l2 MPC against FIR based robust MPC as well as to estimate the maximum performance improvements by robust MPC.",

author = "Guru Prasath and J{\o}rgensen, {John Bagterp}",

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AU - Jørgensen, John Bagterp

N1 - Copyright: 2008 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 - 2008

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N2 - We develop a regularized l2 finite impulse response (FIR) predictive controller with input and input-rate constraints. Feedback is based on a simple constant output disturbance filter. The performance of the predictive controller in the face of plant-model mismatch is investigated by simulations and related to the uncertainty of the impulse response coefficients. The simulations can be used to benchmark l2 MPC against FIR based robust MPC as well as to estimate the maximum performance improvements by robust MPC.

AB - We develop a regularized l2 finite impulse response (FIR) predictive controller with input and input-rate constraints. Feedback is based on a simple constant output disturbance filter. The performance of the predictive controller in the face of plant-model mismatch is investigated by simulations and related to the uncertainty of the impulse response coefficients. The simulations can be used to benchmark l2 MPC against FIR based robust MPC as well as to estimate the maximum performance improvements by robust MPC.

U2 - 10.1109/ACC.2008.4586531

DO - 10.1109/ACC.2008.4586531

M3 - Article in proceedings

SN - 978-1-4244-2078-0

BT - American Control Conference 2008

PB - IEEE

T2 - 2008 American Control Conference

Y2 - 11 June 2008 through 13 June 2008

ER -

Model Predictive Control based on Finite Impulse Response Models

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