Identificação E Controle De Um Sistema De Troca De Calor Entre Vapor E Líquido Saturado: Uma Abordagem Híbrida

The present work proposes i) the extraction of the dynamics of a liquid-saturated steam heat exchanger through a black-box approach, considering multiobjective optimization of an Echo State Network (ESN) hyperparameters based on performance and complexity metrics and ii) the application of a fuzzy control on the ESN obtained to follow a temperature trajectory. Results showed that the generated model can be controlled and, when compared with a model obtained in an approach with only performance optimization, a similar performance is achieved but with a significant model complexity reduction.