Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
MDPI - Multidisciplinary Digital Publishing Institute
Ort:
Basel, Switzerland
Date:
2020
Language:
Englisch
Additional information
Abstract:
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
Object text:
English
Access and usage options
Administrative details
Created:
2023-04-14
Last changed:
2021-11-25
Added to portal:
2023-04-14
Feedback
Our data sets are in constant development. If you have additional information about this object or discovered an error, please write to us. Information on privacy policy