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[ pdf ] Process Control Using Takagi-Sugeno Fuzzy Modeling

Process Control Using Takagi-Sugeno Fuzzy Modeling Download
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Topic under  Process Control
Source: www.staff.ncl.ac.uk 
File size: 725.58 KB
File type: pdf
Last download on: Tue May 02, 2017 02:22:59 AM
Short Desciption:
A fuzzy controller or model uses fuzzy rules, which are linguistic if-then statements involving fuzzy sets, fuzzy logic, and fuzzy inference. Fuzzy rules play a key role in representing expert control/modeling knowledge and experience and in linking the input variables of fuzzy controllers/models to output variable (or variables). Two major types of fuzzy rules exist, namely, Mamdani fuzzy rules and Takagi-Sugeno (TS, for short) fuzzy rules.

Summary:
1 Introduction
2 Takagi-Sugeno fuzzy modeling
2.1 Construction of Fuzzy Models
2.1.1 Sector Nonlinearity
2.2 Basic Fuzzy Mathematics for Modeling
2.2.1 Local Approximation in Fuzzy Partition Spaces
3 Appendix
References

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