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    Output Feedback Stabilisation over Bandwidth Limited, Signal to Noise Ratio Constrained Communication Channels.


    Rojas, Alejandro J. and Braslavsky, Julio H. and Middleton, Richard H. (2006) Output Feedback Stabilisation over Bandwidth Limited, Signal to Noise Ratio Constrained Communication Channels. In: Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006. IEEE, pp. 2789-2794. ISBN 1-4244-0209-3

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    Abstract

    Stabilisability of an open loop unstable plant is studied under the presence of a bandwidth limited additive coloured noise communication channel with constrained Signal to Noise Ratio. The problem is addressed through the use of an LTI filter explicitly modelling the bandwidth limitation, and another LTI filter to model the additive coloured noise. Results in this paper show that a bandwidth limitation increases the minimum value of Signal to Noise Ratio required for stabilisability, in comparison to the infinite bandwidth, white noise case. Examples are used to illustrate the results in the continuous and discrete framework.

    Item Type: Book Section
    Additional Information: "©2006 IEEE. Reprinted from Proceedings of the 2006 American Control Conference Minneapolis, Minnesota, USA, June 14-16, 2006. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1656646&isnumber=34689
    Keywords: Bandwidth allocation; Feedback; Stability; Telecommunication control; LTI filter; Bandwidth limited additive coloured noise communication channel; Bandwidth limited signal to noise ratio constrained communication channels; Output feedback stabilisation; ACC 2006; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 1754
    Identification Number: https://doi.org/10.1109/ACC.2006.1656646
    Depositing User: Hamilton Editor
    Date Deposited: 15 Dec 2009 17:13
    Publisher: IEEE
    Refereed: Yes
    URI:

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