The paper is continuing a work for a velocity controller synthesis by neuro-fuzzy techniques in a vector control with an asynchronous motor structure. The input – output data prepared in the previous paper are applied to a program in order to train a neural network able to generate a file for the speed fuzzy controller. The fuzzy solution is analyzed comparatively with the standard structure th...

In this paper, a fuzzy-neuro approach will be presented for the design of bang-bang control system. A description of the architecture will be given. The multi-layered structure of the controller is essentially a neural network which resembles a fuzzy rule-based system. The robustness issue of an application to a heating system will also be described.

This paper deals with the Artificial Intelligent control of Doubly-Fed Induction Generator using Adaptive Neuro-Fuzzy Inference System in order to generate maximum power at variable wind speed. The rotor control is achieved here using the combined features of neural network and fuzzy logic controller.

This paper first presents a discussion of the reasoning and method for combining neural networks and fuzzy logic. The problem of moving a robotic arm in the presence of an obstacle is discussed. Several neuro-fuzzy controllers are trained using sample data obtained from a human’s control of a robotic arm. Their performance is quantified and compared. It is shown that the definition of the fuzzy...

In the current study we examine the effects of interest rate changes on common stock returns of Greek banking sector. We examine the Generalized Autoregressive Heteroskedasticity (GARCH) process and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The conclusions of our findings are that the changes of interest rates, based on GARCH model, are insignificant on common stock returns during the p...

Today, DC motors is still being used globally due to their easy speed controllability. In this article, an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller is designed for DC motors. The main purpose of performing such task is to reduce the DC motor starting current and deleting the ripple current during starting time in considering control parameters such as: rise time, settling time, ...

This paper introduced modeling and simulation results of an isolated solar photovoltaic system with lead-acid battery. The is operated at maximum power point tracking (MPPT) using MATLAB/Simulink environment. proposed controllers used in this are proportional – integral (PI) controller, fuzzy logic controller (FLC) Adaptive Neuro Fuzzy Inference System (ANFIS) controllers. for controlling dc-dc...