Lars Grune – författare

Lyapunov methods have been and are still one of the main tools to analyze the stability properties of dynamical systems. In this monograph, Lyapunov results characterizing the stability and stability of the origin of differential inclusions are reviewed. To characterize instability and destabilizability, Lyapunov-like functions, called Chetaev and control Chetaev functions in the monograph, are introduced. Based on their definition and by mirroring existing results on stability, analogue results for instability are derived. Moreover, by looking at the dynamics of a differential inclusion in backward time, similarities and differences between stability of the origin in forward time and instability in backward time, and vice versa, are discussed. Similarly, the invariance of the stability and instability properties of the equilibria of differential equations with respect to scaling are summarized. As a final result, ideas combining control Lyapunov and control Chetaev functions to simultaneously guarantee stability, i.e., convergence, and instability, i.e., avoidance, are outlined. The work is addressed at researchers working in control as well as graduate students in control engineering and applied mathematics.

The book explores the field of model predictive control (MPC). It reports on the latest developments in MPC, current applications, and presents various subfields of MPC. The book features topics such as uncertain and stochastic MPC variants, learning and neural network approaches, easy-to-use numerical implementations as well as multi-agent systems and scheduling and coordination tasks. While MPC is rooted in engineering science, this book illustrates the potential of using MPC theory and methods in non-engineering sciences and applications such as economics, finance, and environmental sciences.

Das Buch bietet eine kompakte, grundlegende Einführung in die Theorie gewöhnlicher Differentialgleichungen aus der Perspektive der dynamischen Systeme im Umfang einer einsemestrigen Vorlesung. Über die Diskussion der Lösungstheorie und der Theorie linearer Systeme hinaus werden insbesondere einfache analytische und numerische Lösungsverfahren, Konzepte der Theorie dynamischer Systeme, Stabilität, Verzweigungen und Hamilton-Systeme behandelt. Der Stoff wird durchgängig anhand von Beispielen, Fragen, Übungsaufgaben und Computerexperimenten illustriert und vertieft.Das Buch ist besonders für das Bachelor-Studium gut geeignet, sowohl vorlesungsbegleitend zum Modul "Gewöhnliche Differentialgleichungen" als auch zum Selbststudium. Es werden nur die Grundvorlesungen in Analysis und Linearer Algebra vorausgesetzt.