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|Type:||Artigo de periódico|
|Title:||Fuzzy Model-Based Predictive Hybrid Control of Polymerization Processes|
|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.|
|Editor:||Amer Chemical Soc|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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