Rojas, A.J., Braslavsky, J.H. and Middleton, R.H. (2008) Fundamental Limitations in Control over a Communication Channel. Automatica, 44 (12). pp. 3147-3151. ISSN 0005-1098
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Abstract
Fundamental limitations in feedback control is a well established area of research.
In recent years it has been extended to the study of limitations imposed by the
consideration of a communication channel in the control loop. Previous results characterised these limitations in terms of a minimal data transmission rate necessary
for stabilisation. In this paper a signal-to-noise ratio (SNR) approach is used to
obtain a tight condition for the linear time invariant output feedback stabilisation
of a continuous-time, unstable, non minimum phase (NMP) plant with time-delay
over an additive Gaussian coloured noise communication channel. By working on a
linear setting the infimal SNR for stabilisability is defined as the infimal achievable
H2 norm between the channel noise input and the channel signal input. The result
gives a guideline in estimating the severity of the fundamental SNR limitation imposed by the plant unstable poles, NMP zeros, time-delay as well as the channel
NMP zeros, bandwidth, and channel noise colouring.
Item Type: | Article |
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Additional Information: | Preprint version of original published article. The definitive version of this article is available at http://dx.doi.org/10.1016/j.automatica.2008.05.014 |
Keywords: | Fundamental constraints; H2 norm; Signal-to-noise ratio; Networks; Input–output stability; |
Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 3522 |
Depositing User: | Hamilton Editor |
Date Deposited: | 06 Mar 2012 16:32 |
Journal or Publication Title: | Automatica |
Publisher: | Elsevier |
Refereed: | No |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/3522 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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