Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 306,16
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the proceedings of the Symposium on Systems Theory in Data and Optimization (SysDO) held in Stuttgart, Germany, from 30th September to 2nd October 2024. It addresses theoretical and practical research questions arising at the intersection of systems and control theory, data, and optimization. The increasing prevalence of cyber-physical systems sparks the need for new methods to integrate measured data and different forms of feedback, especially optimization-based feedback, inside the decision-making mechanism. There are distinctive challenges that arise in this scenario, such as the existence of different time-scales, the need to guarantee sufficient richness of the collected data, and the effect of suboptimal decisions under uncertainty. This book presents new methods and applications addressing these challenges.This book is a valuable source on latest research findings spanning diverse topics including:data-driven and learning-based control;theory and applications of machine learning;model predictive control; andoptimization.
Lingua: Inglese
Editore: Springer, Berlin, Springer, 2025
ISBN 10: 303183190X ISBN 13: 9783031831904
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 299,59
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book contains the proceedings of the Symposium on Systems Theory in Data and Optimization (SysDO) held in Stuttgart, Germany, from 30th September to 2nd October 2024. It addresses theoretical and practical research questions arising at the intersection of systems and control theory, data, and optimization. The increasing prevalence of cyber-physical systems sparks the need for new methods to integrate measured data and different forms of feedback, especially optimization-based feedback, inside the decision-making mechanism. There are distinctive challenges that arise in this scenario, such as the existence of different time-scales, the need to guarantee sufficient richness of the collected data, and the effect of suboptimal decisions under uncertainty. This book presents new methods and applications addressing these challenges.This book is a valuable source on latest research findings spanning diverse topics including:data-driven and learning-based control;theory and applications of machine learning;model predictive control; andoptimization. 350 pp. Englisch.
Da: preigu, Osnabrück, Germania
EUR 259,45
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Systems Theory in Data and Optimization | Proceedings of SysDO 2024 | Julian Berberich (u. a.) | Buch | xi | Englisch | 2025 | Springer | EAN 9783031831904 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Sep 2025, 2025
ISBN 10: 303183190X ISBN 13: 9783031831904
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 299,59
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book contains the proceedings of the Symposium on Systems Theory in Data and Optimization (SysDO) held in Stuttgart, Germany, from 30th September to 2nd October 2024. It addresses theoretical and practical research questions arising at the intersection of systems and control theory, data, and optimization. The increasing prevalence of cyber-physical systems sparks the need for new methods to integrate measured data and different forms of feedback, especially optimization-based feedback, inside the decision-making mechanism. There are distinctive challenges that arise in this scenario, such as the existence of different time-scales, the need to guarantee sufficient richness of the collected data, and the effect of suboptimal decisions under uncertainty. This book presents new methods and applications addressing these challenges.This book is a valuable source on latest research findings spanning diverse topics including:data-driven and learning-based control;theory and applications of machine learning;model predictive control; andoptimization.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch.