Further (Potential) Application Fields
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Adaptive open-loop control (Section 10.2.1): evolving fuzzy systems are applied for automatic generation of non-linear controllers from data, which can be further updated during on-line control mode to permanently improve the control rules/strategies, e.g. adapting to new control system states.
Chemometric modelling (Section 10.2.2): deals with quantification of the composition of chemical substances in materials; here, it is a big challenge to automatize the quantification process by (non-linear) models extracted from measured spectral data and updated during on-line production process.
Interactive machine learning (Section 10.2.3): a generic concept for enhancing interaction and increasing knowledge exchange between humans and machine learning systems; evolving fuzzy systems could play a central role in such a concept, as, when combined with the techniques for improving interpretability of EFS (Chapter 6), providing linguistic and also visual insight into the behavior and underlying dependencies of the process.
KeywordsFuzzy System Fuzzy Controller Distillation Tower Fuzzy Neural Network Soft Sensor
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