Title :
A method for deriving the analytical structure of the TS fuzzy controllers with two linear interval Type-2 fuzzy sets for each input variable
Author :
Haibo Zhou ; Hao Ying
Author_Institution :
State Key Lab. of High Performance Complex Manuf., Central South Univ., Changsha, China
Abstract :
Type-2 fuzzy controllers have been mostly viewed and treated as black boxes in that their input-output mathematical mappings (i.e., analytical structures) are unknown. In contrast, this is never the case for any conventional controller. In this paper, we show an innovative analytical structure derivation technique for the interval Type-2 TS fuzzy controllers whose configurations are as follows: two input variables, two linear input fuzzy sets for each input variable, linear TS fuzzy rules, Zadeh AND operator, the Karnik-Mendel center-of-sets type reducer, and the centroid defuzzifier. Revealing the analytical structure of any Type-2 fuzzy controller, this one included, is important as it can lead to better understanding of the controller and more productive analysis and design of the Type-2 fuzzy control system.
Keywords :
control system synthesis; fuzzy control; fuzzy reasoning; fuzzy set theory; Karnik-Mendel center-of-sets type reducer; TS fuzzy controller analytical structure; Type-2 fuzzy control system design; Zadeh AND operator; black boxes; centroid defuzzifier; innovative analytical structure derivation technique; input variable; input-output mathematical mappings; interval Type-2 TS fuzzy controllers; linear TS fuzzy rules; linear input fuzzy sets; linear interval Type-2 fuzzy sets; Educational institutions; Equations; Firing; Fuzzy control; Fuzzy sets; Input variables; Integrated circuits;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-2073-0
DOI :
10.1109/FUZZ-IEEE.2014.6891540