The Koopman Operator in Systems and Control
Concepts, Methodologies, and Applications
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Beschreibung
This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory.
The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem. After a brief introduction of the Koopman operator framework, including basic notions and definitions, the book explores numerical methods, such as the dynamic mode decomposition (DMD) algorithm and Arnoldi-based methods, which are used to represent the operator in a finite-dimensional basis and to compute its spectral properties from data. The main body of the book is divided into three parts:
- theoretical results and numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification;
- data-driven techniques based on DMD, which extract the spectral properties of the Koopman operator from data for the structural analysis of controlled systems; and
- Koopman operator techniques with specific applications in systems and control, which range from heat transfer analysis to robot control.
This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory.
The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem. After a brief introduction of the Koopman operator framework, including basic notions and definitions, the book explores numerical methods, such as the dynamic mode decomposition (DMD) algorithm and Arnoldi-based methods, which are used to represent the operator in a finite-dimensional basis and to compute its spectral properties from data. The main body of the book is divided into three parts:
- theoretical results and numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification;
- data-driven techniques based on DMD, which extract the spectral properties of the Koopman operator from data for the structural analysis of controlled systems; and
- Koopman operator techniques with specific applications in systems and control, which range from heat transfer analysis to robot control.
Provides a broad overview of state-of-the-art research at the intersection of Koopman operator theory and control theory Presents efficient numerical methods for practitioners and suggests open research directions Covers recent developments in Koopman operator theory, with a focus on control theory, an area in which the framework has received increasing attention in recent years
Autor*in
Alexandre Mauroy
Themen in »The Koopman Operator in Systems and Control«
Koopman Operator Nonlinear Systems and Control Dynamic Mode Decomposition Koopman Mode Decomposition Applied Koopmanism Lifting Technique Data-Driven Methods