The Kalman decomposition for Linear Quantum Stochastic Systems

Symeon Grivopoulos; Guofeng Zhang; Ian R. Petersen; John Gough

doi:10.23919/ACC.2017.7963095

The Kalman decomposition for Linear Quantum Stochastic Systems

Symeon Grivopoulos, Guofeng Zhang, Ian R. Petersen, John Gough

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2017 American Control Conference, ACC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1073-1078
Number of pages	6
ISBN (Electronic)	9781509059928
DOIs	https://doi.org/10.23919/ACC.2017.7963095
Publication status	Published - 29 Jun 2017
Event	2017 American Control Conference, ACC 2017 - Seattle, United States Duration: 24 May 2017 → 26 May 2017

Publication series

Name	Proceedings of the American Control Conference
ISSN (Print)	0743-1619

Conference

Conference	2017 American Control Conference, ACC 2017
Country/Territory	United States
City	Seattle
Period	24/05/17 → 26/05/17

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10.23919/ACC.2017.7963095

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title = "The Kalman decomposition for Linear Quantum Stochastic Systems",

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.",

author = "Symeon Grivopoulos and Guofeng Zhang and Petersen, {Ian R.} and John Gough",

note = "Publisher Copyright: {\textcopyright} 2017 American Automatic Control Council (AACC).; 2017 American Control Conference, ACC 2017 ; Conference date: 24-05-2017 Through 26-05-2017",

year = "2017",

month = jun,

day = "29",

doi = "10.23919/ACC.2017.7963095",

language = "English",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Grivopoulos, S, Zhang, G, Petersen, IR & Gough, J 2017, The Kalman decomposition for Linear Quantum Stochastic Systems. in 2017 American Control Conference, ACC 2017., 7963095, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 1073-1078, 2017 American Control Conference, ACC 2017, Seattle, United States, 24/05/17. https://doi.org/10.23919/ACC.2017.7963095

The Kalman decomposition for Linear Quantum Stochastic Systems. / Grivopoulos, Symeon; Zhang, Guofeng; Petersen, Ian R. et al.
2017 American Control Conference, ACC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1073-1078 7963095 (Proceedings of the American Control Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zhang, Guofeng

AU - Petersen, Ian R.

AU - Gough, John

PY - 2017/6/29

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N2 - 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.

AB - 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.

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M3 - Conference contribution

T3 - Proceedings of the American Control Conference

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BT - 2017 American Control Conference, ACC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 American Control Conference, ACC 2017

Y2 - 24 May 2017 through 26 May 2017

ER -

The Kalman decomposition for Linear Quantum Stochastic Systems

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