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Pregled bibliografske jedinice broj: 1054683

Koopman Operator Theory for Nonautonomous and Stochastic Systems


Maćešić, Senka; Črnjarić-Žic, Nelida
Koopman Operator Theory for Nonautonomous and Stochastic Systems // The Koopman Operator in Systems and Control / Mauroy, Alexandre ; Mezic, Igor ; Susuki, Yoshihiko (ur.).
Basel, Switzerland: Springer Nature Switzerland AG, 2020. str. 131-160 doi:10.1007/978-3-030-35713-9


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Naslov
Koopman Operator Theory for Nonautonomous and Stochastic Systems

Autori
Maćešić, Senka ; Črnjarić-Žic, Nelida

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, ostalo

Knjiga
The Koopman Operator in Systems and Control

Urednik/ci
Mauroy, Alexandre ; Mezic, Igor ; Susuki, Yoshihiko

Izdavač
Springer Nature Switzerland AG

Grad
Basel, Switzerland

Godina
2020

Raspon stranica
131-160

ISBN
978-3-030-35712-2

ISSN
0170-8643

Ključne riječi
Koopman operator, nonautonomous systems, random dynamical system, stochastic Koopman operator, DMD algorithm, Arnoldi type algorithm

Sažetak
In practice, the dynamics of open systems subject to time-dependent or random forcing is much more present than the dynamics of autonomous systems. Therefore, extension of the Koopman operator theory and applications to such systems is of great importance. At the same time, it brings a new viewpoint to the existing theory of nonautonomous as well as random dynamical systems, particularly, with application of Koopman based data-driven algorithms. In this chapter, we first review the nonautonomous Koopman operator family based on the two standard nonautonomous dynamical system definitions: skew product and process. Then, we state basic properties of the operator and compare performance of the DMD and Arnoldi-type algorithms in the context of both definitions. In the case of the random dynamical systems (RDS), we introduce the associated stochastic Koopman operator family. We show that when RDS is Markovian, this family satisfies semigroup property and we present some properties for RDS generated by the stochastic differential equations. Finally, we discuss data-driven algorithms in the stochastic framework and illustrate their performance on numerical examples.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Temeljne tehničke znanosti



POVEZANOST RADA


Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci

Citiraj ovu publikaciju

Maćešić, Senka; Črnjarić-Žic, Nelida
Koopman Operator Theory for Nonautonomous and Stochastic Systems // The Koopman Operator in Systems and Control / Mauroy, Alexandre ; Mezic, Igor ; Susuki, Yoshihiko (ur.).
Basel, Switzerland: Springer Nature Switzerland AG, 2020. str. 131-160 doi:10.1007/978-3-030-35713-9
Maćešić, S. & Črnjarić-Žic, N. (2020) Koopman Operator Theory for Nonautonomous and Stochastic Systems. U: Mauroy, A., Mezic, I. & Susuki, Y. (ur.) The Koopman Operator in Systems and Control. Basel, Switzerland, Springer Nature Switzerland AG, str. 131-160 doi:10.1007/978-3-030-35713-9.
@inbook{inbook, year = {2020}, pages = {131-160}, DOI = {10.1007/978-3-030-35713-9}, keywords = {Koopman operator, nonautonomous systems, random dynamical system, stochastic Koopman operator, DMD algorithm, Arnoldi type algorithm}, doi = {10.1007/978-3-030-35713-9}, isbn = {978-3-030-35712-2}, issn = {0170-8643}, title = {Koopman Operator Theory for Nonautonomous and Stochastic Systems}, keyword = {Koopman operator, nonautonomous systems, random dynamical system, stochastic Koopman operator, DMD algorithm, Arnoldi type algorithm}, publisher = {Springer Nature Switzerland AG}, publisherplace = {Basel, Switzerland} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Book Citation Index - Science (BKCI-S)
  • Scopus


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