SISO extended predictive control: Implementation and robust stability analysis

M. Abu-Ayyad; R. Dubay; G. Kember

doi:10.1016/S0019-0578(07)60219-5

SISO extended predictive control: Implementation and robust stability analysis

M. Abu-Ayyad, R. Dubay, G. Kember

School of Science, Engineering & Technology (Harrisburg)

Research output: Contribution to journal › Article › peer-review

7 Scopus citations

Abstract

The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of the EPC algorithm is that it uses the condition number of the system matrix to evaluate a single tuning parameter that provides a specified closed-loop response. Robust analysis demonstrated that EPC is more robust in comparison with move-suppressed and m-shifted predictive controllers in all aspects of process variation in gain, delay, and time-constant ratios. Tuning of EPC is effective and simple since there is a direct relationship between closed-loop performance and its tuning parameter.

Original language	English (US)
Pages (from-to)	373-391
Number of pages	19
Journal	ISA Transactions
Volume	45
Issue number	3
DOIs	https://doi.org/10.1016/S0019-0578(07)60219-5
State	Published - Jul 2006

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Instrumentation
Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

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10.1016/S0019-0578(07)60219-5

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title = "SISO extended predictive control: Implementation and robust stability analysis",

abstract = "The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of the EPC algorithm is that it uses the condition number of the system matrix to evaluate a single tuning parameter that provides a specified closed-loop response. Robust analysis demonstrated that EPC is more robust in comparison with move-suppressed and m-shifted predictive controllers in all aspects of process variation in gain, delay, and time-constant ratios. Tuning of EPC is effective and simple since there is a direct relationship between closed-loop performance and its tuning parameter.",

author = "M. Abu-Ayyad and R. Dubay and G. Kember",

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AU - Abu-Ayyad, M.

AU - Dubay, R.

AU - Kember, G.

N1 - Funding Information: The authors acknowledge the Natural Sciences and Engineering Research Council of Canada for the financial support of this research. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2006/7

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N2 - The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of the EPC algorithm is that it uses the condition number of the system matrix to evaluate a single tuning parameter that provides a specified closed-loop response. Robust analysis demonstrated that EPC is more robust in comparison with move-suppressed and m-shifted predictive controllers in all aspects of process variation in gain, delay, and time-constant ratios. Tuning of EPC is effective and simple since there is a direct relationship between closed-loop performance and its tuning parameter.

AB - The proposed algorithm of extended predictive control (EPC) represents an exact method for removing the ill-conditioning in the system matrix by developing a unique weighting structure for any control horizon. The main feature of the EPC algorithm is that it uses the condition number of the system matrix to evaluate a single tuning parameter that provides a specified closed-loop response. Robust analysis demonstrated that EPC is more robust in comparison with move-suppressed and m-shifted predictive controllers in all aspects of process variation in gain, delay, and time-constant ratios. Tuning of EPC is effective and simple since there is a direct relationship between closed-loop performance and its tuning parameter.

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SISO extended predictive control: Implementation and robust stability analysis

Abstract

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