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Titolo:
Performance assessment of multivariable feedback control systems
Autore:
Ko, BS; Edgar, TF;
Indirizzi:
Univ Texas, Dept Chem Engn, Austin, TX 78712 USA Univ Texas Austin TX USA78712 exas, Dept Chem Engn, Austin, TX 78712 USA
Titolo Testata:
AUTOMATICA
fascicolo: 6, volume: 37, anno: 2001,
pagine: 899 - 905
SICI:
0005-1098(200106)37:6<899:PAOMFC>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
CONTROL LOOP PERFORMANCE; INTERACTOR MATRIX; UNIVARIATE;
Keywords:
performance monitoring; minimum variance control; multivariable control; Markov parameters; time-series analysis;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
13
Recensione:
Indirizzi per estratti:
Indirizzo: Edgar, TF Univ Texas, Dept Chem Engn, Austin, TX 78712 USA Univ Texas Austin TX USA 78712 Chem Engn, Austin, TX 78712 USA
Citazione:
B.S. Ko e T.F. Edgar, "Performance assessment of multivariable feedback control systems", AUTOMATICA, 37(6), 2001, pp. 899-905

Abstract

A new procedure is developed for the estimation of minimum-variance performance bounds in multivariable feedback control systems. The algorithm used in this paper does not require any knowledge of the interactor matrix. Instead: it uses the first few Markov parameters of the plant (up to the delay order of the process) and a set of closed-loop operating data to estimate an expression for the outputs under minimum-variance control. The minimum-variance term of a multivariable feedback control system is shown to be identical to the behavior of the outputs under a finite-horizon minimum-variancecontrol with specified horizon length. The utility of the proposed method in the performance assessment of multivariable control systems is demonstrated through a simulated example. (C) 2001 Elsevier Science Ltd. All rights reserved.

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Documento generato il 03/04/20 alle ore 13:50:56