Abstract
A majority of methods from dynamical system analysis, especially those in applied settings, rely on Poincaré's geometric picture that focuses on "dynamics of states." While this picture has fueled our field for a century, it has shown difficulties in handling high-dimensional, ill-described, and uncertain systems, which are more and more common in engineered systems design and analysis of "big data" measurements. This overview article presents an alternative framework for dynamical systems, based on the "dynamics of observables" picture. The central object is the Koopman operator: an infinite-dimensional, linear operator that is nonetheless capable of capturing the full nonlinear dynamics. The first goal of…
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675
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- FWCI
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Authors
3Topics & keywords
Topics
Keywords
- Computer science
- Dynamical systems theory
- Operator (biology)
- Field (mathematics)
- Dynamic mode decomposition
- Ergodicity
- Observable
- Nonlinear system
UN Sustainable Development Goals
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