Infinite-dimensional bilinear and stochastic balanced truncation with explicit error bounds
Published version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Becker, Simon
Hartmann, Carsten
Abstract
Abstract: Along the ideas of Curtain and Glover (in: Bart, Gohberg, Kaashoek (eds) Operator theory and systems, Birkhäuser, Boston, 1986), we extend the balanced truncation method for (infinite-dimensional) linear systems to arbitrary-dimensional bilinear and stochastic systems. In particular, we apply Hilbert space techniques used in many-body quantum mechanics to establish new fully explicit error bounds for the truncated system and prove convergence results. The functional analytic setting allows us to obtain mixed Hardy space error bounds for both finite-and infinite-dimensional systems, and it is then applied to the model reduction of stochastic evolution equations driven by Wiener noise.
Description
Keywords
Original Article, Balanced truncation, Bilinear balanced truncation, Stochastic balanced truncation, Infinite-dimensional system theory
Journal Title
Conference Name
Journal ISSN
0932-4194
1435-568X
1435-568X
Volume Title
Publisher
Springer London