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The Koopman Operator: Capabilities and Recent Advances

Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee, Casey J. Perkins, Matthew R. Oster

202014 citationsDOI

Abstract

In this paper, we provide an introduction to the Koopman Operator (KO) designed to be accessible to those not already familiar with the field. Our aim is to expose domain experts and controls practitioners to the concept and the capabilities the KO provides in the interest of promoting wider KO use; as such, we deliberately focus more on the uses and computational aspects of the KO than on the wealth of analytical results in the literature. Domain experts may then be able to pose new applications-based research questions for the KO community. We begin by defining the KO and describing its key components. Secondly, we discuss computational methods used to calculate the KO in practice. Thirdly, we provide an overview of different uses for the KO and its associated capabilities. Finally, we discuss some open areas of research for future KO work.

Topics & Concepts

Computer scienceDomain (mathematical analysis)Focus (optics)Key (lock)Field (mathematics)Operator (biology)Data scienceManagement scienceMathematicsEngineeringComputer securityPhysicsRepressorGeneChemistryBiochemistryTranscription factorMathematical analysisOpticsPure mathematicsModel Reduction and Neural NetworksLattice Boltzmann Simulation StudiesFluid Dynamics and Turbulent Flows
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