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Titolo:
A model-based predictive control approach to repetitive control of continuous processes with periodic operations
Autore:
Lee, JH; Natarajan, S; Lee, KS;
Indirizzi:
Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA Purdue Univ W Lafayette IN USA 47907 Chem Engn, W Lafayette, IN 47907 USA Sogang Univ, Dept Chem Engn, Mapogu, Seoul 121742, South Korea Sogang Univ Seoul South Korea 121742 , Mapogu, Seoul 121742, South Korea
Titolo Testata:
JOURNAL OF PROCESS CONTROL
fascicolo: 2, volume: 11, anno: 2001,
pagine: 195 - 207
SICI:
0959-1524(200104)11:2<195:AMPCAT>2.0.ZU;2-V
Fonte:
ISI
Lingua:
ENG
Soggetto:
ITERATIVE LEARNING CONTROL; SYSTEM;
Keywords:
model predictive control; repetitive control; periodic systems;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
24
Recensione:
Indirizzi per estratti:
Indirizzo: Lee, JH Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA Purdue UnivW Lafayette IN USA 47907 n, W Lafayette, IN 47907 USA
Citazione:
J.H. Lee et al., "A model-based predictive control approach to repetitive control of continuous processes with periodic operations", J PROC CONT, 11(2), 2001, pp. 195-207

Abstract

A novel model-based predictive control (MPC) method is developed with the aim of applying it to periodic process control problems. By borrowing concepts From repetitive control (RC), we endow the MPC method with the ability to make continuous period-to-period improvements. The method uses a linear time-varying system description of a periodic process and can handle constraints on inputs and outputs. Some numerical examples are shown to illustrate performance improvements that can be achieved by the new method over the conventional MPC and RC methods. (C) 2001 Published by Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/09/20 alle ore 22:52:18