Prediction-based control for a class of unstable time-delayed processes by using a modified sequential predictor

M. A. Hernández-Pérez; V. Fragoso-Rubio; M. Velasco-Villa; B. del Muro–Cuéllar; J. F. Márquez-Rubio; H. Puebla

doi:10.1016/j.jprocont.2020.05.014

Prediction-based control for a class of unstable time-delayed processes by using a modified sequential predictor

M. A. Hernández-Pérez, V. Fragoso-Rubio, M. Velasco-Villa, B. del Muro–Cuéllar, J. F. Márquez-Rubio, H. Puebla

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

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

5 Scopus citations

Abstract

This work presents a prediction-based scheme to control a class of unstable delayed (bio)-chemical processes. The main characteristic of the control scheme is that it is based on a predicted future state that is estimated using a prediction-observation protocol that allows compensating large time-delays. The convergence of the prediction error is shown through standard stability arguments. The stability of the closed-loop system is shown by invoking the separation principle between the prediction error and the control based on estimated variables feedback. Four numerical examples are used to illustrate our results, including two time-delayed benchmark case studies taken from the control process literature.

Original language	English
Pages (from-to)	98-107
Number of pages	10
Journal	Journal of Process Control
Volume	92
DOIs	https://doi.org/10.1016/j.jprocont.2020.05.014
State	Published - Aug 2020

Keywords

Modified sequential predictor
Prediction-observer scheme
Time-delay
Unstable delayed (bio)-chemical processes

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10.1016/j.jprocont.2020.05.014

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title = "Prediction-based control for a class of unstable time-delayed processes by using a modified sequential predictor",

abstract = "This work presents a prediction-based scheme to control a class of unstable delayed (bio)-chemical processes. The main characteristic of the control scheme is that it is based on a predicted future state that is estimated using a prediction-observation protocol that allows compensating large time-delays. The convergence of the prediction error is shown through standard stability arguments. The stability of the closed-loop system is shown by invoking the separation principle between the prediction error and the control based on estimated variables feedback. Four numerical examples are used to illustrate our results, including two time-delayed benchmark case studies taken from the control process literature.",

keywords = "Modified sequential predictor, Prediction-observer scheme, Time-delay, Unstable delayed (bio)-chemical processes",

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T1 - Prediction-based control for a class of unstable time-delayed processes by using a modified sequential predictor

AU - Hernández-Pérez, M. A.

AU - Fragoso-Rubio, V.

AU - Velasco-Villa, M.

AU - del Muro–Cuéllar, B.

AU - Márquez-Rubio, J. F.

AU - Puebla, H.

PY - 2020/8

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N2 - This work presents a prediction-based scheme to control a class of unstable delayed (bio)-chemical processes. The main characteristic of the control scheme is that it is based on a predicted future state that is estimated using a prediction-observation protocol that allows compensating large time-delays. The convergence of the prediction error is shown through standard stability arguments. The stability of the closed-loop system is shown by invoking the separation principle between the prediction error and the control based on estimated variables feedback. Four numerical examples are used to illustrate our results, including two time-delayed benchmark case studies taken from the control process literature.

AB - This work presents a prediction-based scheme to control a class of unstable delayed (bio)-chemical processes. The main characteristic of the control scheme is that it is based on a predicted future state that is estimated using a prediction-observation protocol that allows compensating large time-delays. The convergence of the prediction error is shown through standard stability arguments. The stability of the closed-loop system is shown by invoking the separation principle between the prediction error and the control based on estimated variables feedback. Four numerical examples are used to illustrate our results, including two time-delayed benchmark case studies taken from the control process literature.

KW - Modified sequential predictor

KW - Prediction-observer scheme

KW - Time-delay

KW - Unstable delayed (bio)-chemical processes

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DO - 10.1016/j.jprocont.2020.05.014

M3 - Artículo

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VL - 92

SP - 98

EP - 107

JO - Journal of Process Control

JF - Journal of Process Control

ER -

Prediction-based control for a class of unstable time-delayed processes by using a modified sequential predictor

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Keywords

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