Systems Identification, Recurrent Neural Network, Echo State Networks, Multiobjective Optimization, Nondominated Sorting Genetic Algorithm II, Fuzzy Control
Abstract
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.
