Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98643
PIRA download icon_1.1View/Download Full Text
Title: The Kalman decomposition for linear quantum stochastic systems
Authors: Grivopoulos, S
Zhang, G 
Petersen, IR
Gough, J
Issue Date: 2017
Source: In Proceedings of 2017 American Control Conference (ACC 2017), 24-26 May 2017, Seattle, WA, USA, p. 1073-1078. London, UK: IEEE, 2017
Abstract: The Kalman decomposition for Linear Quantum Stochastic Systems in the real quadrature operator representation, that was derived indirectly in [1] by the authors, is derived here directly, using the “one-sided symplectic”SVD-like factorization of [2] on the observability matrix of the system.
Publisher: Institute of Electrical and Electronics Engineers
ISBN: 978-150905992-8
DOI: 10.23919/ACC.2017.7963095
Description: 2017 American Control Conference, May 24–26 2017, Seattle, WA, USA
Rights: © 2017 AACC
The following publication S. Grivopoulos, G. Zhang, I. R. Petersen and J. Gough, "The Kalman decomposition for Linear Quantum Stochastic Systems," 2017 American Control Conference (ACC), Seattle, WA, USA, 2017, pp. 1073-1078 , is published at ACC and is available at https://doi.org/10.23919/ACC.2017.7963095.
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Zhang_Kalman_Decomposition_Linear.pdfPre-Published version896.77 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

61
Citations as of Apr 21, 2024

Downloads

16
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

1
Citations as of Apr 26, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.