Control and estimation through cognitive radio with distributed and dynamic spectral activity

Xiao Ma; Seddik M. Djouadi; Teja P. Kuruganti; James J. Nutaro; Husheng Li

Control and estimation through cognitive radio with distributed and dynamic spectral activity

Xiao Ma, Seddik M. Djouadi, Teja P. Kuruganti, James J. Nutaro, Husheng Li

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

6 Scopus citations

Abstract

Cognitive radio systems are currently a popular topic and are a good prospect for research when combined with control technology. In this paper, we consider the control and estimation via a two switch model which can represent a cognitive radio system. We provide an optimal estimator for this model and demonstrate that the optimal LQG controller is not a linear gain of the estimate of the states, as well as showing how the separation principle does not hold. Several conditions of stability are also discussed. Numerical examples are provided to verify the results.

Original language	English
Title of host publication	Proceedings of the 2010 American Control Conference, ACC 2010
Pages	289-294
Number of pages	6
State	Published - 2010
Event	2010 American Control Conference, ACC 2010 - Baltimore, MD, United States Duration: Jun 30 2010 → Jul 2 2010

Publication series

Name	Proceedings of the 2010 American Control Conference, ACC 2010

Conference

Conference	2010 American Control Conference, ACC 2010
Country/Territory	United States
City	Baltimore, MD
Period	06/30/10 → 07/2/10

Cite this

@inproceedings{13167c4baf0b463c8dfcc49e50625a68,

title = "Control and estimation through cognitive radio with distributed and dynamic spectral activity",

abstract = "Cognitive radio systems are currently a popular topic and are a good prospect for research when combined with control technology. In this paper, we consider the control and estimation via a two switch model which can represent a cognitive radio system. We provide an optimal estimator for this model and demonstrate that the optimal LQG controller is not a linear gain of the estimate of the states, as well as showing how the separation principle does not hold. Several conditions of stability are also discussed. Numerical examples are provided to verify the results.",

author = "Xiao Ma and Djouadi, {Seddik M.} and Kuruganti, {Teja P.} and Nutaro, {James J.} and Husheng Li",

year = "2010",

language = "English",

isbn = "9781424474264",

series = "Proceedings of the 2010 American Control Conference, ACC 2010",

pages = "289--294",

booktitle = "Proceedings of the 2010 American Control Conference, ACC 2010",

note = "2010 American Control Conference, ACC 2010 ; Conference date: 30-06-2010 Through 02-07-2010",

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Ma, X, Djouadi, SM, Kuruganti, TP , Nutaro, JJ & Li, H 2010, Control and estimation through cognitive radio with distributed and dynamic spectral activity. in Proceedings of the 2010 American Control Conference, ACC 2010., 5530850, Proceedings of the 2010 American Control Conference, ACC 2010, pp. 289-294, 2010 American Control Conference, ACC 2010, Baltimore, MD, United States, 06/30/10.

Control and estimation through cognitive radio with distributed and dynamic spectral activity. / Ma, Xiao; Djouadi, Seddik M.; Kuruganti, Teja P. et al.
Proceedings of the 2010 American Control Conference, ACC 2010. 2010. p. 289-294 5530850 (Proceedings of the 2010 American Control Conference, ACC 2010).

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

TY - GEN

T1 - Control and estimation through cognitive radio with distributed and dynamic spectral activity

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AU - Djouadi, Seddik M.

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AU - Nutaro, James J.

AU - Li, Husheng

PY - 2010

Y1 - 2010

N2 - Cognitive radio systems are currently a popular topic and are a good prospect for research when combined with control technology. In this paper, we consider the control and estimation via a two switch model which can represent a cognitive radio system. We provide an optimal estimator for this model and demonstrate that the optimal LQG controller is not a linear gain of the estimate of the states, as well as showing how the separation principle does not hold. Several conditions of stability are also discussed. Numerical examples are provided to verify the results.

AB - Cognitive radio systems are currently a popular topic and are a good prospect for research when combined with control technology. In this paper, we consider the control and estimation via a two switch model which can represent a cognitive radio system. We provide an optimal estimator for this model and demonstrate that the optimal LQG controller is not a linear gain of the estimate of the states, as well as showing how the separation principle does not hold. Several conditions of stability are also discussed. Numerical examples are provided to verify the results.

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M3 - Conference contribution

AN - SCOPUS:77957761105

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T3 - Proceedings of the 2010 American Control Conference, ACC 2010

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BT - Proceedings of the 2010 American Control Conference, ACC 2010

T2 - 2010 American Control Conference, ACC 2010

Y2 - 30 June 2010 through 2 July 2010

ER -

Control and estimation through cognitive radio with distributed and dynamic spectral activity

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