A robust control algorithm is always needed to harvest maximum power from a Wind Energy Conversion System (WECS) by operating it consistently at Maximum Power Point (MPP) in the presence of wind speed variations. In this work, Tracking (MPPT) designed via Conventional Sliding Mode Control (CSMC), Super Twisting Algorithm (STA), and Real (RTA) applied Permanent Magnet Synchronous Generator (PMSG...

Abstract--In this study, we introduce a concept of self-organizing neurofuzzy networks (SONFN), a hybrid modeling architecture combining relation-based neurofuzzy networks (NFN) and self-organizing polynomial neural networks (PNN). For such networks we develop a comprehensive design methodology and carry out a series of numeric experiments using data coming from the area of software engineering...

Information extraction from satellite images is a challenging task. This is because of the associated uncertainty arising out of improper capture and subsequent transfer. Fuzzy systems are suitable for such applications because of the fact that these have the ability to capture minute variations in the patterns presented. Fuzzy systems are expert decision making tools that require support from ...

The purpose of this work is to design a neurofuzzy controller, which can be used in a microcomputer to control the position of an electrohydraulic servo actuating primary flight controls. More specifically, an artificial intelligence based neuro-fuzzy controller is synthesized to solve a robust servomechanism problem. Indeed, the artificial intelligence based synthesis of control law provides a...

Reverse engineering of gene regulatory networks (GRNs) is the process of estimating genetic interactions of a cellular system from gene expression data. In this paper, we propose a novel hybrid systematic algorithm based on neurofuzzy network for reconstructing GRNs from observational gene expression data when only a medium-small number of measurements are available. The approach uses fuzzy log...