Systems Theory in Data and Optimization (eBook)

Proceedings of SysDO 2024

Julian Berberich, Andrea Iannelli, Frank Allgöwer (Herausgeber)

eBook Download: PDF

2025 | 1. Auflage
350 Seiten
Springer-Verlag
9783031831911 (ISBN)

Infos

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; and


• optimization.

Produkt-Details

• Erscheint lt. Verlag: 26.9.2025
• Reihe/Serie: Lecture Notes in Control and Information Sciences - Proceedings
• Zusatzinfo: XI, 350 p. 97 illus., 85 illus. in color.
• Sprache: englisch
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: conference proceedings • Control Theory • Feedback Optimization • Learning-based Control • on-line learning • optimization algorithms • sequential decision making • Systems Theory
• ISBN-13: 9783031831911 / 9783031831911