Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/67721
Type: Artigo de periódico
Title: Fuzzy Model-Based Predictive Hybrid Control of Polymerization Processes
Author: Lima, NMN
Manenti, F
Maciel, R
Embirucu, M
Maciel, MRW
Abstract: This paper presents a fuzzy model-based predictive hybrid controller (FMPHC) for polymerization processes based oil Takagi-Sugeno models and moving horizon methodology. Such processes are characterized by strongly nonlinear behaviors, which may either require significant effort to tune model-based controllers or render them ineffective. The proposed FMPHC is a promising integrated approach to handle nonlinearities and control issues. An industrial copolymerization process of ethylene and I-butene is adopted to validate the proposed approach and to compare it to the most widespread advanced multivariable control.
Country: EUA
Editor: Amer Chemical Soc
Rights: fechado
Identifier DOI: 10.1021/ie900352d
Date Issue: 2009
Appears in Collections:Unicamp - Artigos e Outros Documentos

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