Journal article

Using process tomography as a sensor for optimal control

Publication status:: Published

Actions

Email

Email this record

Send the bibliographic details of this record to your email address.

Your Email
Please enter the email address that the record information will be sent to.

-
Your message (optional)
Please add any additional information to be included within the email.
Cite

Cite this record

APA Style

Ruuskanen, A., Seppanen, A., Duncan, S., Somersalo, E., & Kaipio, J. (2006). Using process tomography as a sensor for optimal control. APPLIED NUMERICAL MATHEMATICS, 56(1), 37–54.

MLA Style

Ruuskanen, A., et al. “Using Process Tomography as a Sensor for Optimal Control.” APPLIED NUMERICAL MATHEMATICS, vol. 56, no. 1, 2006, pp. 37–54.

Chicago Style

Ruuskanen, A, A Seppanen, S Duncan, E Somersalo, and J Kaipio. 2006. “Using Process Tomography as a Sensor for Optimal Control.” APPLIED NUMERICAL MATHEMATICS 56 (1): 37–54.
Share
Print

Access Document

Publisher copy:: 10.1016/j.apnum.2005.02.011

Authors

+ Ruuskanen, A More by this author

Role:: Author

+ Seppanen, A More by this author

Role:: Author

+ Duncan, S More by this author

Role:: Author

+ Somersalo, E More by this author

Role:: Author

+ Kaipio, J More by this author

Role:: Author

Journal:: APPLIED NUMERICAL MATHEMATICS More from this journal
Volume:: 56
Issue:: 1
Pages:: 37-54
Publication date:: 2006-01-01
DOI:: 10.1016/j.apnum.2005.02.011
ISSN:: 0168-9274

Keywords:: state estimation

LQG control

diffuse tomography

ill-posed inverse problem
Pubs id:: pubs:317464
UUID:: uuid:f0877f80-4e8b-458e-b95b-cec4a4e6d374
Local pid:: pubs:317464
Source identifiers:: 317464
Deposit date:: 2012-12-19

Terms of use

Copyright date:: 2006

Licence:: Terms and Conditions of Use for Oxford University Research Archive

Views and Downloads

About views and downloads

If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP