⎯ In this paper, a novel approach for robust trajectory tracking of induction motor drive is presented. By combining variable structure systems theory with fuzzy logic concept and neural network techniques, a new algorithm is developed. Fuzzy logic was used for the adaptation of the learning algorithm to improve the robustness of learning and operating of the neural network. The developed contr...

This paper presents the modelling and control of switched reluctance motor (SRM) for hybrid electric vehicle (HEV) application. Nonlinear characteristics of SRM are obtained using finite element analysis. The fuzzy logic controller is used to minimize the torque ripple which improves the average torque capability of SRM. Obtained results from the drive using fuzzy logic controller are compared ...

The dynamic behavior of an industrial tunneltype furnace is of the fundamental importance for the quality of the processed products. The knowledge of the furnace dynamics can make the control of the system easier as well as it can eliminate certain operational problems. The various subsystems existent in a tunnel-type furnace are usually controlled by conventional techniques and independent con...

Recently there has been significant growth in research interest in type-2 fuzzy logic. Type-2 fuzzy logic is extension of type-1 (regular) fuzzy logic where the membership grade in a fuzzy set is itself measured as a fuzzy number. Much of this growth has only been concerned with type-2 interval fuzzy systems, a subset of type-2 fuzzy systems, where the membership grade of a fuzzy set is given a...

Fuzzy logic has rapidly become one of the most successful of today's technologies for developing sophisticated control systems. The reason for which is very simple. Fuzzy logic addresses such applications perfectly as it resembles human decision making with an ability to generate precise solutions from certain or approximate information. It fills an important gap in engineering design methods l...

The paper describes an application of evolvable fuzzy neural networks for artificial creativity in linguistics. The task of the creation of an English vocabulary was resolved with neural networks which have an evolvable architecture with learning capabilities as well as a fuzzy connectionist structure. The paper features a form of artificial creativity which creates words on its own using genet...

2 Vagueness, Uncertainty and Fuzzy Logic 2 2.1 Vagueness and Uncertainty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Vagueness and Fuzzy Sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 What Is Fuzzy Logic . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.4 Agenda of Fuzzy Logic . . . . . . . . . . . . . . . . . . . . . . . . . . . ....