Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
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 h...
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Otros Autores: | , |
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Formato: | Electrónico Capítulo de libro |
Lenguaje: | inglés |
Publicado: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
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Materias: | |
Acceso en línea: | DOAB: download the publication DOAB: description of the publication |
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Sumario: | 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. |
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Descripción Física: | 1 electronic resource (202 p.) |
ISBN: | books978-3-03943-335-3 9783039433346 9783039433353 |
Acceso: | Open Access |