On-Line Identification of Flexible TSK-Type Models
In this chapter a novel approach to on-line data-driven identification of flexible rule-based models is considered. It concerns primarily TSK flexible models benefiting from their dual nature: being non-linear, they are quasi-linear and, therefore, convenient for using in on-line identification schemes.
KeywordsMembership Function Fault Detection Linguistic Term Rule Structure Consequent Part
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