Interval type-2 T–S fuzzy model is used to represent the original nonlinear system, so as to capture the parameter uncertainties. Stochastic deception attacks are considered in the sensor to controller channel and the controller to actuator channel. By constructing Lyapunov–Krasovskii functional with...
Index Terms—Interval type-2 fuzzy sets, nonsingleton fuzzy logic systems, time-series forecasting, tuning of parameters, type-2 fuzzy logic systems, upper and lower membership functions. I. INTRODUCTION FUZZY logic system (FLS) (also known as a fuzzy system, fuzzy logic controller, etc) ...
LHossein Hassani & Jafar Zarei, "Interval Type-2 fuzzy logic controller design for the speed control of DC motors", Systems Science & Control Engineering, Published by Taylor & Francis, 2015.Hossein, H., Jafar, Z.: Interval Type-2 fuzzy logic controller design for the speed control of DC...
Type-2 fuzzy is a model that provides the ability to handle effect of uncertainty. This paper applies interval type-2 fuzzy for decision making in supplier selection. The system will choose alternative recomendations of decision based on the evaluation criteria. The result shows that type-2 fuzzy...
Application of interval type-2 fuzzy logic systems to gas turbine fault diagnosis Several approaches have been employed for gas turbine Fault Detection and Identification (FDI), since a reliable FDI system with minimum false alarm rate c... M Montazeri-Gh,S Yazdani - 《Applied Soft Computing》 ...
An embedded type 2 fuzzy controller for a mobile robot application 热度: 人工智能基础(第2版) x2d;高济 x2d;ai x2d;4 x2d;本 热度: 相关推荐 PRoCESSC0NTRoL ChineseJournalofChemicalEngineering,20(6)1102一l106(2012) StudyofIntervalType·—2FuzzyControllerfortheTwin--tankWater LevelSystem ZHAOTao...
An evolutionary architecture was proposed to generate the rule base and to optimize the membership functions of a type-2 Fuzzy Classification System The proposed architecture is composed of three stages. In the first stage of the architecture, a Genetic Algorithm generates the rule base of the ...
To date, because of the computational complexity of using a general type-2 fuzzy set (T2 FS) in a T2 fuzzy logic system (FLS), most people only use an interval T2 FS, the result being an interval T2 FLS (IT2 FLS). Unfortunately, there is a heavy educational burden even to using an...
Currently most of type-2 fuzzy adaptive control (FAC) approaches use the iterative Karnik-Mendel (KM) algorithm in type-reduction (TR), but other TR methods are rarely employed. This paper applies KM algorithm and Begian-Melek-Mendel (BMM) into a class of uncertain nonlinear single-input sing...
Baklouti N, John R, Alimi AM (2012) Interval type-2 fuzzy logic control of mobile robots. J Intel Learn Syst Appl 4:291-302Alimi, Type-2 Fuzzy Logic Control of Mobile Robots - Baklouti, M - 2012 () Citation Context ...pdate using a fuzzy logic system. The big difference between...