Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933247

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Title
Feedback control over signal-to-noise ratio constrained communication channels with channel input quantisation
Author/Creator
Rojas, A. J.
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
Description
Communication channels impose a number of obstacles to feedback control, such as delay, noise, and constraints in the communication transmission data rate. One line of research considers the problem of feedback stabilisation of a linear time invariant (LTI) plant subject to a constraint on the channel signal-to-noise ratio (SNR) of a communication channel located in the same loop. The present paper extends such formulation to discrete-time systems with feedback over memoryless additive white Gaussian noise (AWGN) channels and additive coloured Gaussian noise (ACGN) channels with memory subject to uniform quantisation of the channel input. By using a uniform distribution formulation for the quantisation error, we derive closed-form expressions for the infimal LTI SNR for stabilisability subject to quantisation error and the channel capacity in the case of the memoryless AWGN channel and an exact expression for the optimal LTI controller that achieves such infimal LTI SNR for stabilisability subject to quantisation error in the case of the ACGN channel with memory.
Relation
2010 American Control Conference (ACC 2010). Proceedings of the 2010 American Control Conference (Baltimore, MD 30 June - 2 July, 2010) p. 265-270
Relation
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5530601
Date
2010
Publisher
Institute of Electrical and Electronics Engineers (IEEE) Computer Society
Keyword(s)
communication channels;  feedback control;  signal-to-noise ratio;  linear time invariant
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/933247
Identifier
ISBN:9781424474264
Identifier
ISSN:0743-1619
Reviewed
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"Feedback control over signal-to-noise ratio constrained communication channels with channel input quantisation"
 
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