Tuning of observer-based estimators: theory and application to the on-line estimation of kinetic parameters

被引：72
|
作者：
Perrier, M
de Azevedo, FS
Ferreira, EC
Dochain, D
机构：
[1] Univ Catholique Louvain, FNRS, Cesame, B-1348 Louvain, Belgium
[2] Ecole Polytech, Dept Genie Chim, Montreal, PQ H3C 3A7, Canada
[3] Univ Porto, Fac Engn, Dept Engn Quim, P-4099 Oporto, Portugal
[4] Univ Minho, Ctr Engn Biol, IBQF, P-4700 Braga, Portugal
来源：
CONTROL ENGINEERING PRACTICE | 2000年 / 8卷 / 04期
关键词：
parameter estimation; state observer; biotechnological process; chemical process; electrical system;
D O I：
10.1016/S0967-0661(99)00164-1
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the tuning of observer-based estimators. Initially, these algorithms were designed for estimating on-line kinetic parameters, like specific growth rates, in bioprocesses, and have proved to be very successful in practical applications. Here a systematic tuning approach that allows a decoupled estimation of each parameter and the assignment of the estimator dynamics independently of the process dynamics is proposed. The presented approach is illustrated on an animal cell culture example in numerical simulation and with real-life data. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：377 / 388
页数：12
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