Tuning of Observer-based Estimators : theory and application to the on-line estimation of kinetic parameters

• Tipo: Artigo em Revista Científica Internacional
• Data: 2000

Autores

M. Perrier (Autor) Outra; Sebastião Feyo de Azevedo (Autor) FEUP; E. C. Ferreira (Autor) Outra; D. Dochain (Autor) Outra

Revista

Título: Control Engineering Practice

Vol. 8 Nº 4

Páginas: 377-388

ISSN: 0967-0661

Editora: Elsevier

Indexação

ISI Web of Science

Scopus

COMPENDEX

Outras Informações

DOI: 10.1016/S0967-0661(99)00164-1

Abstract (EN): 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. This paper deals with the tuning of observer-based estimator. 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12