Performance Monitoring of Closed-Loop Controlled Systems Using dFasArt
This paper analyzes the behaviour of closed-loop controlled systems. Starting from the measured data, the aim is to establish a classification of the system operation states. Digital Signal Processing is used to represent temporal signal with spatial patterns. A neuro-fuzzy scheme (dFasArt) is proposed to classify these patterns, in an on-line way, characterizing the state of controller performance. A real scale plant has been used to carry out several experiments with good results.
KeywordsdFasArt neuro-fuzzy temporal analysis closed-loop systems
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