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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:**
Fri Sep 30, 2016 09:03:26 PM

__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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"Process Control Using Takagi-Sugeno Fuzzy Modeling"

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