1992
DOI: 10.1049/ip-d.1992.0057
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Self-organising fuzzy logic controller

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Cited by 77 publications
(25 citation statements)
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“…The fuzzy sliding surface (Kim & Lee, 1995;Tzafestas & Rigators, 1999) can be used to reduce the number of fuzzy rule so that an one-dimensional fuzzy rule base is established instead of a two-dimensional one. The self-organizing learning mechanism (Park, Moon, & Lee, 1995;Procyk & Mamdani, 1979;Zhang & Edmunds, 1992) is employed to modify fuzzy rules on-line. Moreover, to reduce unnecessary trial-and-error, the model-matching technique is adopted to adjust scaling factors.…”
Section: Introductionmentioning
confidence: 99%
“…The fuzzy sliding surface (Kim & Lee, 1995;Tzafestas & Rigators, 1999) can be used to reduce the number of fuzzy rule so that an one-dimensional fuzzy rule base is established instead of a two-dimensional one. The self-organizing learning mechanism (Park, Moon, & Lee, 1995;Procyk & Mamdani, 1979;Zhang & Edmunds, 1992) is employed to modify fuzzy rules on-line. Moreover, to reduce unnecessary trial-and-error, the model-matching technique is adopted to adjust scaling factors.…”
Section: Introductionmentioning
confidence: 99%
“…By contrast, many techniques have been applied for the rapid diagnosis of fermentation processes which provide the feed material for subsequent downstream operations. Pattern recognition [3], expert systems and knowledge bases [4], neural networks [5], pattern recognition by multivariate data analysis [6], [7] and multivariate statistical process control [6] have all been successfully applied to the fermentation of recombinant proteins. The advantage of extending such methods to the analysis of downstream operations is that they can lead to more ef®cient processes through improved levels of integration by offering process supervision diagnostics that are simple to interpret.…”
Section: Introductionmentioning
confidence: 99%
“…Many studies [4], [9], [12] have been undertaken to find new ways to self-regulate fuzzy inference. There have been several successful applications [7], [8] and improved versions [13], [19]. However, the stability analysis and robustness for system design have not been refined further.…”
Section: Introductionmentioning
confidence: 99%