Fault tolerant trajectory tracking control design for interval-type-2 Takagi-Sugeno fuzzy logic system

2017 ◽  
Vol 27 (3) ◽  
pp. 230 ◽  
Author(s):  
Imen Maalej ◽  
Chokri Rekik ◽  
Donia Ben Halima Abid
Keyword(s):  
Fuzzy Logic ◽  
Tracking Control ◽  
Fault Tolerant ◽  
Control Design ◽  
Fuzzy Logic System ◽  
Trajectory Tracking Control ◽  
Interval Type ◽  
Takagi Sugeno ◽  
Logic System

Unnormalized Interval Type-2 TSK Fuzzy Logic System Design Based on Convexity and Sample Data

2011 ◽  
Vol 15 (3) ◽  
pp. 345-350 ◽  
Author(s):  
Tiechao Wang ◽  
◽  
Jianqiang Yi ◽  
Keyword(s):  
Fuzzy Logic ◽  
Sufficient Conditions ◽  
Target Function ◽  
Fuzzy Logic System ◽  
Single Input Single Output ◽  
Single Output ◽  
Interval Type ◽  
Takagi Sugeno ◽  
Logic System

Prior knowledge of convexity is encoded into a Single-Input Single-Output (SISO) unnormalized interval type-2 Takagi-Sugeno-Kang (TSK) Fuzzy Logic System (FLS) such that the system converges to a given convex target function. After giving sufficient conditions to guarantee convexity with respect to inputs, we show how to combine convexity with Unnormalized Interval Type-2 TSK FLSs (UIT2FLSs) to design convex fuzzy systems enabling derived systems to approach the target function. A simulation example demonstrates the usefulness of convexity and the advantages of UIT2FLSs in the presence of noise.

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