Koopman Operator Methods for Global Phase Space Exploration of Equivariant Dynamical Systems

IFAC-PapersOnLine(2020)

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摘要
Abstract In this paper, we develop the Koopman operator theory for dynamical systems with symmetry. In particular, we investigate how the Koopman operator and eigenfunctions behave under the action of the symmetry group of the underlying dynamical system. Further, exploring the underlying symmetry, we propose an algorithm to construct a global Koopman operator from local Koopman operators. In particular, we show, by exploiting the symmetry, data from all the invariant sets are not required for constructing the global Koopman operator; that is, local knowledge of the system is enough to infer the global dynamics.
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关键词
Dynamic systems, Operators, Learning algorithms, Equivariant systems, Koopman operators, Data-driven analysis
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