Type-1 fuzzy logicType-2 fuzzy logicDynamic parameter adaptationAt present the use of fuzzy systems applied to problem solving is very common, since the use of linguistic variables is less complex when solving a problem. This article presents a study of the use of type-1 and interval type-...
Type-1FuzzySystem IntervalType-2FuzzySystem GeneralizedType-2FuzzySystem FuzzyController Mobilerobot Control abstract TheaimofthispaperistoshowthataGeneralizedType-2FuzzyControlSystemcanoutperformType-1 andIntervalType-2FuzzyControlSystemswhenexternalperturbationsarepresent.AGeneralizedType- 2FuzzySystemcanhandlebett...
Introduction of emphasize function for both type 1 and interval type 2 fuzzy sets (See 16th example). New options while calling plot functions (T1FS.plot, IT2FS.plot, T1FS_plot, IT2FS_plot, and TR_plot) have been added. Users can specify the output file format (png, eps, pdf, etc...
Membership function extrema are used to construct a simple and tighter convex polyhedron that encloses the membership trajectory and produces less conservative linear matrix inequality (LMI) conditions. The cases of both type-1 and interval type-2 T–S fuzzy systems are considered, and comparison ...
The objective of this work is focused on improving the optimization ability of the cuckoo search algorithm (CS), and, for this reason, a comparison is made between type-1 and interval type-2 fuzzy logic to look for more promising results in the cuckoo search algorithm (CS), and to help ...
As high tracking accuracy and high tracking speed are both vital for LTS operation, a design of a high performance controller is critical. This paper shows that an interval type 2 fuzzy logic controller (IT2FLC) can outperform a type 1 fuzzy logic controller (T1FLC) in such applications. ...
In a type-2 fuzzy logic system, one of the important operations is to calculate the centroid of an interval type-2 fuzzy set (IT2 FS). In this paper, two novel algorithms called binary algorithms are proposed to calculate the centroid of IT2 FSs. Then, the outputs of the proposed binar...
Hassani, H., & Zarei, J. "Interval Type-2 fuzzy logic controller design for the speed control of DC motors". Systems Science & Control Engineering, 2015, 3(1), 266- 273.H. Hassani and J. Zarei" Interval Type-2 fuzzy logic controller design for the speed control of DC motors"...
John, and A. M. Alimi, "Interval type-2 fuzzy logic control of mobile robots," Journal of Intelligent Learning Systems and Applications, vol. Vol. 4 No. 4, pp. pp. 291-302, 2012.N. Baklouti1, R. John and A. Alimi," Interval Type-2 Fuzzy Logic Control of Mobile Robots", ...
Three PID controllers are employed, namely linear PID controller, type-1 (T1) fuzzy PID controller and interval type-2 (IT2) fuzzy PID controller, to regulate the BIS index using the nominal patient's model. The number of fuzzy rules and shape of the MFs are initially pre-defined however...