Computer science Type-1 and Type-2 fuzzy systems for detecting visitors in an uncertain environment UNIVERSITY OF MISSOURI - COLUMBIA Marjorie Skubic ReedKevin WIn this work, I have developed an algorithm to detect the presence of visitors in a noninvasive manner. This algorithm is designed as ...
In this paper we propose a Hybrid PSO-GA optimization method for automatic design of fuzzy logic controllers (FLC) to minimize the steady state error of a plant's response. We test the optimal FLC obtained by the Hybrid PSO-GA method using benchmark control plants and an autonomous mobile ...
MRAS Speed Estimator Based on Type-1 and Type-2 Fuzzy Logic Controller for the Speed Sensorless DTFC-SVPWM of an Induction Motor Drive Direct Torque and Flux ControlInduction Motor DriveModel Reference Adaptive SystemType-1 Fuzzy Logic ControllerType-2 Fuzzy Logic Controller... Panda,A Kumar,Kumar...
This research article proposes the shunt active filter (SHAF), which is used to improve the power quality of the electrical network by mitigating the harmonics with the help of Type-1 and Type-2 Fuzzy logic controller (Type-1 and Type-2 FLC) Triangular membership function (M.F). To carry...
Structure and stability analysis of general Mamdani fuzzy dynamic models I have established a necessary and sufficient condition for judging local stability of type-1 and type-2 fuzzy models. It can be used for model validation and control system design. Three numeric examples are provided. Our ne...
stge approximate reasoning by pictorial representation - Under sup-min composition and triangular type membership function, Fuzzy Sets and Systems, 80 133-... H Maeda - 《Fuzzy Sets & Systems》 被引量: 43发表: 1996年 Visual analysis and representations of type-2 fuzzy membership functions This...
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. ...
GeneralizedType-2FuzzySystemsforcontrollingamobilerobotandaperformancecomparisonwithIntervalType-2andType-1FuzzySystemsMauricioA.Sancheza,OscarCastillob,⇑,JuanR.CastroaaAutonomousUniversityofBajaCalifornia,Tijuana,MexicobTijuanaInstituteofTechnology,Tijuana,MexicoarticleinfoArticlehistory:Availableonline12April2015Keywor...
Furthermore, we prove that type-2 intuitionistic fuzzy sets are the generalized forms of type-1 fuzzy sets, intuitionistic fuzzy sets, interval-valued fuzzy sets and interval-valued intuitionistic fuzzy sets. The basic operations of type-2 intuitionistic fuzzy sets and type-2 intuitionistic fuzzy ...
In this chapter, type-1 and type-2 TSK fuzzy logic models are introduced. Instead of using fuzzy sets in the consequent part (as in Mamdani models), the TSK model uses a function of the input variables. The order of the function determines the order of the model, e.g., zeroth-order...