Fuzzy logic control in energy systems: with design applications in MATLAB/Simulink
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London, United Kingdom
The Institution of Engineering and Technology
[2017]
|
| Schriftenreihe: | IET energy engineering
91 |
| Schlagworte: | |
| Zusammenfassung: | 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 Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality. The 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. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can study every step of the fuzzy logic processor, with the ability to modify the code. Fuzzy Logic Control in Energy Systems is an important read for researchers and practicing engineers in energy engineering and control, as well as advanced students involved with power system research and operation |
| Beschreibung: | Literaturangaben |
| Beschreibung: | xiii, 503 Seiten Illustrationen, Diagramme |
| ISBN: | 1785611070 9781785611070 |
Internformat
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| 264 | 1 | |a London, United Kingdom |b The Institution of Engineering and Technology |c [2017] | |
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| 490 | 1 | |a IET energy engineering |v 91 | |
| 500 | |a Literaturangaben | ||
| 520 | 3 | |a 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 | |
| 520 | 3 | |a Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality. The 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. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can study every step of the fuzzy logic processor, with the ability to modify the code. Fuzzy Logic Control in Energy Systems is an important read for researchers and practicing engineers in energy engineering and control, as well as advanced students involved with power system research and operation | |
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Datensatz im Suchindex
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| bvnumber | BV045498217 |
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| ctrlnum | (OCoLC)1090100591 (DE-599)GBV1027860508 |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Book |
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| id | DE-604.BV045498217 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T08:19:44Z |
| institution | BVB |
| isbn | 1785611070 9781785611070 |
| language | English |
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| oclc_num | 1090100591 |
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| owner_facet | DE-703 |
| physical | xiii, 503 Seiten Illustrationen, Diagramme |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | The Institution of Engineering and Technology |
| record_format | marc |
| series | IET energy engineering |
| series2 | IET energy engineering |
| spelling | Altas, Ismail H. Verfasser aut Fuzzy logic control in energy systems with design applications in MATLAB/Simulink İsmail H. Altaş London, United Kingdom The Institution of Engineering and Technology [2017] xiii, 503 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier IET energy engineering 91 Literaturangaben 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 Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality. The 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. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can study every step of the fuzzy logic processor, with the ability to modify the code. Fuzzy Logic Control in Energy Systems is an important read for researchers and practicing engineers in energy engineering and control, as well as advanced students involved with power system research and operation Fuzzy-Regelung (DE-588)4395755-9 gnd rswk-swf Fuzzy-Regelung (DE-588)4395755-9 s DE-604 Erscheint auch als Online-Ausgabe, PDF 978-1-78561-108-7 IET energy engineering 91 (DE-604)BV047218775 91 |
| spellingShingle | Altas, Ismail H. Fuzzy logic control in energy systems with design applications in MATLAB/Simulink IET energy engineering Fuzzy-Regelung (DE-588)4395755-9 gnd |
| subject_GND | (DE-588)4395755-9 |
| title | Fuzzy logic control in energy systems with design applications in MATLAB/Simulink |
| title_auth | Fuzzy logic control in energy systems with design applications in MATLAB/Simulink |
| title_exact_search | Fuzzy logic control in energy systems with design applications in MATLAB/Simulink |
| title_full | Fuzzy logic control in energy systems with design applications in MATLAB/Simulink İsmail H. Altaş |
| title_fullStr | Fuzzy logic control in energy systems with design applications in MATLAB/Simulink İsmail H. Altaş |
| title_full_unstemmed | Fuzzy logic control in energy systems with design applications in MATLAB/Simulink İsmail H. Altaş |
| title_short | Fuzzy logic control in energy systems |
| title_sort | fuzzy logic control in energy systems with design applications in matlab simulink |
| title_sub | with design applications in MATLAB/Simulink |
| topic | Fuzzy-Regelung (DE-588)4395755-9 gnd |
| topic_facet | Fuzzy-Regelung |
| volume_link | (DE-604)BV047218775 |
| work_keys_str_mv | AT altasismailh fuzzylogiccontrolinenergysystemswithdesignapplicationsinmatlabsimulink |