Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink® - Info and Reading Options
By Ismail H. Altaş
"Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®" was published by Institution of Engineering & Technology in 2017 - Stevenage, Herfordshire, it has 503 pages and the language of the book is English.
“Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®” Metadata:
- Title: ➤ Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®
- Author: Ismail H. Altaş
- Language: English
- Number of Pages: 503
- Publisher: ➤ Institution of Engineering & Technology
- Publish Date: 2017
- Publish Location: Stevenage, Herfordshire
“Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®” Subjects and Themes:
- Subjects: ➤ Electric power systems - Control - Fuzzy logic - Numerical analysis - Computer programs - Congresses - TECHNOLOGY & ENGINEERING - Mechanical - Fuzzy control - Power control - MATLAB
Edition Specifications:
- Pagination: 486
Edition Identifiers:
- The Open Library ID: OL35956593M - OL26565926W
- Online Computer Library Center (OCLC) ID: 1011250817 - 1014434727
- ISBN-13: 9781785611087 - 9781523112876
- All ISBNs: 9781785611087 - 9781523112876
AI-generated Review of “Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®”:
"Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink®" Description:
The Open Library:
This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems.
Open Data:
This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems
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