Pregled bibliografske jedinice broj: 957116
Koopman Operator Family Spectrum for Non- autonomous Systems
Koopman Operator Family Spectrum for Non- autonomous Systems // Siam journal on applied dynamical systems, 17 (2018), 4; 2478-2515 doi:10.1137/17M1133610 (međunarodna recenzija, članak, znanstveni)
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Naslov
Koopman Operator Family Spectrum for Non- autonomous Systems
Autori
Maćešić, Senka ; Črnjarić-Žic, Nelida ; Mezić, Igor
Izvornik
Siam journal on applied dynamical systems (1536-0040) 17
(2018), 4;
2478-2515
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Koopman operator family ; non-autonomous dynamical systems ; data-driven algorithm
Sažetak
For any non-autonomous dynamical system, the family of Koopman operators, as well as related Koopman eigenvalues and eigenfunctions, are parameterized by a time pair. Therefore, a logical approach in the data-driven algorithms for the non-autonomous Koopman mode decomposition is the application of a DMD method on the moving stencils of snapshots in order to capture the time-dependency. In this paper, we investigate the issues that arise in such an approach. These issues do not appear if we use the moving stencil approach as the model fitting method ; they appear as significant errors in the computed non-autonomous Koopman operator eigenvalues. The first issue manifests itself in the hybrid dynamical systems when the moving stencil passes over a non-autonomous switching point. We show that such stencils can be detected through the Krylov subspace projection error and propose an algorithm that computes correct eigenvalues by avoiding such stencils. The second issue appears in the continuous-in- time non-autonomous systems. Even if we apply techniques of finding good observables that solve all issues in the autonomous case, the non-autonomous Koopman eigenvalues will still be computed with a significant error. In the presented theorems, we reveal the nature of this error and propose a second algorithm that is based on the reduction of the stencil size. The application of the two new data-driven algorithms on various non- autonomous systems shows complete recovery from the errors otherwise present in computation of the non- autonomous Koopman operator eigenvalues.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Temeljne tehničke znanosti
Napomena
Rad je sufinanciran DARPA projektom i potporom Sveučilišta u Rijeci
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus