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A Framework for Linear Control over Channels with Signal-to-Noise Ratio Constraints

Johannesson, Erik LU ; Rantzer, Anders LU and Bernhardsson, Bo LU (2011) 9th IEEE International Conference on Control & Automation
Abstract
We present a framework for the solution of control and estimation problems under a signal-to-noise (SNR) ratio constraint. The framework can be used to design optimal linear controllers, based on output feedback, with two degrees of freedom: One part of the controller is placed before the communication channel and represents sensing and encoding operations. The other part represents decoding and issuing of the control signal. The framework includes a generalized plant model that can be used to represent problem instances covered in previous papers [12], [11] as special cases. It is shown that the design problem can be solved by minimization of a convex functional depending on the 1- and 2-norms of the Youla parameter, followed by a... (More)
We present a framework for the solution of control and estimation problems under a signal-to-noise (SNR) ratio constraint. The framework can be used to design optimal linear controllers, based on output feedback, with two degrees of freedom: One part of the controller is placed before the communication channel and represents sensing and encoding operations. The other part represents decoding and issuing of the control signal. The framework includes a generalized plant model that can be used to represent problem instances covered in previous papers [12], [11] as special cases. It is shown that the design problem can be solved by minimization of a convex functional depending on the 1- and 2-norms of the Youla parameter, followed by a spectral factorization. (Less)
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Contribution to conference
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9th IEEE International Conference on Control & Automation
external identifiers
  • Scopus:84858976780
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LCCC
language
English
LU publication?
yes
id
b29fddc3-8bff-423a-a43b-d1e479f253b5 (old id 2430716)
date added to LUP
2012-03-30 12:19:51
date last changed
2016-10-13 04:54:37
@misc{b29fddc3-8bff-423a-a43b-d1e479f253b5,
  abstract     = {We present a framework for the solution of control and estimation problems under a signal-to-noise (SNR) ratio constraint. The framework can be used to design optimal linear controllers, based on output feedback, with two degrees of freedom: One part of the controller is placed before the communication channel and represents sensing and encoding operations. The other part represents decoding and issuing of the control signal. The framework includes a generalized plant model that can be used to represent problem instances covered in previous papers [12], [11] as special cases. It is shown that the design problem can be solved by minimization of a convex functional depending on the 1- and 2-norms of the Youla parameter, followed by a spectral factorization.},
  author       = {Johannesson, Erik and Rantzer, Anders and Bernhardsson, Bo},
  language     = {eng},
  title        = {A Framework for Linear Control over Channels with Signal-to-Noise Ratio Constraints},
  year         = {2011},
}