In 1992, Ramadan introduced the concept of a smooth topological space and relativeness between smooth topological space and fuzzy topological space in Chang's (1968) view points. In this paper we give a new definition of smooth topological space. This definition can be considered as a generalization of the smooth topological space which was given by Ramadan. Some general properties such as relative smooth continuity and relative smooth compactness are studied.

B. Ghazanfari

Relative Smooth Topological Spaces

This paper proposes a fuzzy modelling approach oriented to the design of
a fuzzy controller for regulating the fresh airflow of a real diesel engine. This
strategy has been suggested for enhancing the regulator design that could represent
an alternative to the standard embedded BOSCH controller, already
implemented in the Engine Control Unit (ECU), without any change to the engine
instrumentation. The air system controller project requires the knowledge
of a dynamic model of the diesel engine, which is achieved by means of the
suggested fuzzy modelling and identification scheme. On the other hand, the
proposed fuzzy PI controller structure is straightforward and easy to implement
with respect to different strategies proposed in literature. The results obtained
with the designed fuzzy controller are compared to those of the traditional embedded
BOSCH controller.

S. Simani

M. Bonfè

Fuzzy Modelling and Control of the Air System of a Diesel Engine

We define the concept of a mapping on classes of fuzzy soft sets and study the properties of fuzzy soft images and fuzzy soft inverse images of fuzzy soft sets, and support them with examples and counterexamples.

Athar Kharal

B. Ahmad

Mappings on Fuzzy Soft Classes

We further contribute to the properties of fuzzy soft sets as
defined and studied in the work of Maji et al. ( 2001), Roy and Maji (2007), and Yang et al. (2007) and support them with examples and
counterexamples. We improve Proposition 3.3 by Maji et al., (2001). Finally we
define arbitrary fuzzy soft union and fuzzy soft intersection and prove
DeMorgan Inclusions and DeMorgan Laws in Fuzzy Soft Set Theory.

On Fuzzy Soft Sets

This paper investigates the dynamical systems in the context of topological semigroup actions on intuitionistic fuzzy metric spaces. We give some concepts such
as topological transitivity, point transitivity, and densely point transitivity for such
dynamical systems. Particularly, we consider the implications of nonsensitivity and
its relation to dynamical properties such as transitivity and equicontinuity.

Yaoyao Lan

Qingguo Li

Semigroup Actions on Intuitionistic Fuzzy Metric Spaces

Several properties of fuzzy semiclosure and fuzzy semi-interior of fuzzy sets defined by Yalvac (1988), have been established and supported by counterexamples. We also study the characterizations and properties of fuzzy semi-open and fuzzy semi-closed sets. Moreover, we define fuzzy s-open and fuzzy s-closed mappings
and give some interesting characterizations.

Fuzzy Sets, Fuzzy S-Open and S-Closed Mappings

This paper presents a new method of online estimation of the stator and rotor resistance of the induction motor in the indirect vector-controlled drive, with artificial neural networks. The back propagation algorithm is used for training of the neural networks. The error between the rotor flux linkages based on a neural network model and a voltage model is back propagated to adjust the weights of the neural network model for the rotor 
resistance estimation. For the stator resistance estimation, the error between the measured stator current and the estimated stator current using neural network is back propagated to adjust the weights of the neural network. The performance of the stator and rotor resistance estimators and torque and flux responses of the drive, together with these estimators, is investigated with the help of simulations for variations in the stator and rotor resistance from their nominal values. Both types of resistance are estimated experimentally, using the proposed neural network in a vector-controlled induction motor drive. Data on tracking performances of these estimators are presented. With this approach, the rotor resistance estimation was found to be insensitive to the stator resistance variations both in simulation and experiment.

Baburaj Karanayil

Muhammed Fazlur Rahman

Colin Grantham

Identification of Induction Motor Parameters in Industrial Drives with Artificial Neural Networks

About this journal

Advances in Fuzzy Systems provides an international forum for original research articles in the theory and applications of fuzzy subsets and systems.

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Chief Editor, Professor Melin, is a professor at the Tijuana Institute of Technology. Her research interests include modular neural networks, type-2 fuzzy logic, pattern recognition, fuzzy control, neuro-fuzzy and genetic-fuzzy hybrid approaches.

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Advances in Fuzzy Systems - Table of contents 2009

title

Advances in Fuzzy Systems provides an international forum for original research articles in the theory and applications of fuzzy subsets and systems.

Advances in Fuzzy Systems