Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933841
- Title
- Compressive sampling for networked feedback control
- Author/Creator
-
Nagahara, Masaaki;
Quevedo, Daniel E.;
Matsuda, Takahiro;
Hayashi, Kazunori
- Description
- We investigate the use of compressive sampling for networked feedback control systems. The method proposed serves to compress the control vectors which are transmitted through rate-limited channels without much deterioration of control performance. The control vectors are obtained by an ℓ¹-ℓ² optimization, which can be solved very efficiently by FISTA (Fast Iterative Shrinkage-Thresholding Algorithm). Simulation results show that the proposed sparsity-promoting control scheme gives a better control performance than a conventional energy-limiting L²-optimal control.
- Relation
- 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012). 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings (Kyoto, Japan 25-30 March, 2012) p. 2733-2736
- Publisher Link
- http://dx.doi.org/10.1109/ICASSP.2012.6288482
- Date
- 2012
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
compressive sampling;
networked control;
ℓ¹-ℓ² optimization
- Resource Type
- conference paper
- Identifier
- http://hdl.handle.net/1959.13/933841
- Identifier
- ISBN:9781467300469
- Language
- eng
- Reviewed
-
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