Radu-Emil Precup, Raul-Cristian Roman, Elena-Lorena Hedrea, Alexandra-Iulia Szedlak-Stinean, Iuliu Alexandru Zamfirache

eBook, PDF

Classical and Modern Optimization Techniques Applied to Control and Modeling (eBook, PDF)

Beschreibung

The book presents a detailed and unified treatment of the theory and applications of optimization applied to control and modeling, focusing on nature-inspired optimization algorithms to optimally tune the parameters of linear and nonlinear controllers and models, with emphasis on tower crane systems and other representative applications.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 19.1MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

Autor

Dr. Radu-Emil Precup is a professor with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania, and Senior Researcher (CS I) and the Head of the Data Science and Engineering Laboratory of the Center for Fundamental and Advanced Technical Research, Romanian Academy - Timisoara Branch, Romania.

Dr. Raul-Cristian Roman is a lecturer with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania. He received a PhD in systems engineering in 2018 from Politehnica University of Timisoara, Timisoara, Romania.

Dr. Elena-Lorena Hedrea is an assistant lecturer with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania.

Dr. Alexandra-Iulia Szedlak-Stinean is a lecturer with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania.

Iuliu Alexandru Zamfirache is a PhD student with the Department of Automation and Applied Informatics, Politehnica University of Timisoara, Romania.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 362
• Erscheinungstermin: 25. März 2025
• Englisch
• ISBN-13: 9781040323328
• Artikelnr.: 73476457