2025-02-23T03:56:55-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22eiekhpieduua-article-267200%22&qt=morelikethis&rows=5
2025-02-23T03:56:55-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22eiekhpieduua-article-267200%22&qt=morelikethis&rows=5
2025-02-23T03:56:55-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T03:56:55-05:00 DEBUG: Deserialized SOLR response
Indirect adaptive fuzzy finite time synergetic control for power systems

Indirect adaptive fuzzy finite time synergetic control for power systems

Introduction. Budget constraints in a world ravenous for electrical power have led utility companies to operate generating stations with full power and sometimes at the limit of stability. In such drastic conditions the occurrence of any contingency or disturbance may lead to a critical situation st...

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Bibliographic Details
Main Authors: Khatir, A., Bouchama, Z., Benaggoune, S., Zerroug, N.
Format: Article
Language:English
Published: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2023
Subjects:
адаптивні нечіткі системи
синергетична теорія управління
збіжність за кінцевий час
стабілізатор енергосистеми
багатомашинна енергосистема
adaptive fuzzy systems
synergetic control theory
finite time convergence
power system stabilizer
multi-machine power system
Online Access:http://eie.khpi.edu.ua/article/view/267200
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http://eie.khpi.edu.ua/article/view/267200

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