This work develops a novel dynamic fuzzy logic system that, based on a fuzzy basis function expansion, successfully solves the non-linear problem of narrowband interference prediction and rejection in DS-SS. A fuzzy basis function representation provides a natural framework for combining both numerical and linguistic information in a uniform fashion. The result is a low complexity non-linear ad...

In this article, we investigate the use of fuzzy logic control techniques for adaptive power control in a direct-sequence code-division multiple-access (DS/CDMA) cellular system over the mobile fading radio channels with propagation time delay. A fuzzy PI (proportional-plus-integral) control whose input variables are the received power error and error change is introduced to determine each user...

In this paper, an adaptive neuro fuzzy interference (ANFIS) based hybrid field oriented speed controlling of an induction motor is proposed. The proposed hybrid field oriented speed controller results attractive performance of induction motor with the potential features of both Artificial Neural network (ANN) and Fuzzy Logic Controller (FLC). In this topology the Artificial Neural Network (ANN)...

The main purpose of this paper is to propose a nonlinear H∞ and mixed 2 / H H∞ self-fuzzy algorithm to solve large-angle robust control problem. The attitude control is one of the studied problems in recent years. Under the space environment, there often exists an unpredictable interference which results some deviations of satellite’s attitude. Therefore, it needs to develop a controller still ...

The microturbine generation (MTG) system are becoming the popular source of distributed generation (DG) due to their fuel flexibility, reliability and power quality. The MTG system is a complicated thermodynamic electromechanical system with high speed of rotation, frequency conversion and its control strategy. In spite of several techniques to control high speed of microturbine is not accurate...

This paper investigates the scope of usage of fuzzy logic to beat the effect of multiple access interference (MAI) through block parallel interference cancellation (BPIC) in a synchronous Carrier Interferometry/MC-CDMA uplink system. The users are classified in different blocks like very strong, strong, weak and very weak based on fuzzy membership function derived from the magnitude of the rece...

Load forecasting allows for the utilities to plan their operations to serve their customers with more reliable and economical electric power. With the developments in computer and information technology new techniques to accurately forecast power system loading are emerging. This research culminates in development of modified algorithms for short-term load forecasting (STLF) of a utility grade ...

in this paper we present a method for solving fuzzy linear systemsby two crisp linear systems. also necessary and sufficient conditions for existenceof solution are given. some numerical examples illustrate the efficiencyof the method.

The performance of the Automatic Voltage Regulate (AVR) and the Power System Stability (PSS) methods may be degraded stability of the power system. This paper presents an Adaptive Neural Fuzzy Inference Systems (ANFIS) algorithm for stability of the power system, we use an Adaptive Network based Fuzzy Interference System architecture extended to response with multivariable systems. By using a h...