Applied Neural Networks and Fuzzy Logic in Power Electronics Motor Drives Renewable Energy Systems and Smart Grids

ISBN 10: 3039433342 / ISBN 13: 9783039433346

Published by Mdpi AG, 2020

About this Item

Print on Demand pp. 202.

Seller Inventory # 394072512

Bibliographic Details

• Title: Applied Neural Networks and Fuzzy Logic in Power Electronics Motor Drives Renewable Energy Systems and Smart Grids
• Publisher: Mdpi AG
• Publication Date: 2020
• Language: English
• ISBN 10: 3039433342
• ISBN 13: 9783039433346
• Binding: Hardcover
• Condition: New

About this title

Synopsis

Artificial intelligence techniques, such as expert systems, fuzzy logic, and artificial neural network techniques have become efficient tools in modeling and control applications. For example, there are several benefits in optimizing cost-effectiveness, because fuzzy logic is a methodology for the handling of inexact, imprecise, qualitative, fuzzy, and verbal information systematically and rigorously. A neuro-fuzzy controller generates or tunes the rules or membership functions of a fuzzy controller with an artificial neural network approach. There are new instantaneous power theories that may address several challenges in power quality. So, this book presents different applications of artificial intelligence techniques in advanced high-tech electronics, such as applications in power electronics, motor drives, renewable energy systems and smart grids.