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Optimal Signal to Noise Ratio in Feedback over Communication Channels with Memory
Rojas, A.J.; Freudenberg, J.S.; Braslavsky, J.H.; Middleton, R.H.
Communication channels impose a number of obstacles to feedback control, such as delay, noise, and constraints in communication data-rate. One alternate line of recent work considers the problem of feedback stabilization subject to a constraint in the signal-to-noise ratio (SNR). It has been shown for continuous-time systems that the optimal control problem arising in achieving minimal SNR can be formulated as a linear quadratic Gaussian (LQG) control problem with weights chosen as in the loop transfer recovery (LTR) technique. The present paper extends such LQG/LTR formulation to discretetime systems with feedback over channels with memory. By using such formulation, we derive exact expressions for the LTI controller and loop sensitivity functions that achieve minimal SNR under the effect of time-delay, non minimum phase zeros and colored additive noise. For the minimum-phase case with white noise and no time delay, we show that the optimal feedback loop obtained after applying LTR has a structure equivalent to that of a communication channel with feedback from the output to the input.
Keyword(s): Hamilton Institute; Computer Science; Continuous time systems; Discrete time systems; Feedback; Linear quadratic Gaussian control; Optimal control; Stability; Telecommunication channels; Communication channels; Feedback control; Feedback stabilization; Loop sensitivity functions; Loop transfer recovery; CDC 2006; Hamilton Institute.
Publication Date:
2006
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Rojas, A.J. and Freudenberg, J.S. and Braslavsky, J.H. and Middleton, R.H. (2006) Optimal Signal to Noise Ratio in Feedback over Communication Channels with Memory. In: 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006. IEEE, pp. 1129-1134. ISBN 1-4244-0171-2
Publisher(s): IEEE
File Format(s): application/pdf
Related Link(s): http://mural.maynoothuniversity.ie/1789/1/HamiltonOptimal.pdf
First Indexed: 2020-01-31 06:01:42 Last Updated: 2020-04-02 07:42:27