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ECN publication
Geavanceerd regelen: de intelligente oplossing
Published by: Publication date:
ECN 1998
ECN report number: Document type:
ECN-I--98-010 Other
Number of pages: Full text:
12 Download PDF  

For existing processes, that are difficult to control as a result oftheir complexity or non-linear behavior, a more stable process control and reduced energy consumption can be realized by means of neuro-fuzzy control systems. Neuro-fuzzy control systems are control systems in which neural networks and fuzzy logic are integrated. Also, such control systems can stimulate the development of new, energetic efficient processes. The principles of fuzzy control systems, neural networks and combinations of the two (neuro-fuzzy control) are outlined and illustrated for two cases: fuzzy control of the temperature of a high-temperature gas heater, and a neuro-fuzzy control of a gas-fired steam boiler

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