Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/101078
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Type: Journal article
Title: Quantized control design for cognitive radio networks modeled as nonlinear semi-Markovian jump systems
Author: Li, F.
Shi, P.
Wu, L.
Basin, M.V.
Lim, C.C.
Citation: IEEE Transactions on Industrial Electronics, 2015; 62(4):2330-2340
Publisher: Institute of Electrical and Electronics Engineers
Issue Date: 2015
ISSN: 0278-0046
1557-9948
Statement of
Responsibility: 
Fanbiao Li, Peng Shi, Ligang Wu, Michael V. Basin, and Cheng-Chew Lim
Abstract: This paper is concerned with the quantized control design problem for a class of semi-Markovian jump systems with repeated scalar nonlinearities. A semi- Markovian system of this kind has been transformed into an associated Markovian system via a supplementary variable technique and a plant transformation. A sufficient condition for associated Markovian jump systems is developed. This condition guarantees that the corresponding closed-loop systems are stochastically stable and have a prescribed H∞ performance. The existence conditions for full- and reduced-order dynamic output feedback controllers are proposed, and the cone complementarity linearization procedure is employed to cast the controller design problem into a sequential minimization one, which can be solved efficiently with existing optimization techniques. Finally, an application to cognitive-radio systems demonstrates the efficiency of the new design method developed.
Keywords: Cognitive radio (CR) network; output feedback control; quantization; repeated scalar nonlinearity; semi-Markovian jump systems (S-MJSs)
Rights: © 2014 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
RMID: 0030025346
DOI: 10.1109/TIE.2014.2351379
Grant ID: http://purl.org/au-research/grants/arc/LP140100471
http://purl.org/au-research/grants/arc/DP140102180
Appears in Collections:Electrical and Electronic Engineering publications

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