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タイトル: Compressive Sampling for Remote Control Systems
著者: NAGAHARA, Masaaki  KAKEN_id
MATSUDA, Takahiro
HAYASHI, Kazunori  kyouindb  KAKEN_id
著者名の別形: 永原, 正章
キーワード: remote control
compressive sampling
compressed sensing
sparse representation
ℓ1-ℓ2 optimization
発行日: Apr-2012
出版者: The Institute of Electronics, Information and Communication Engineers
誌名: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
巻: E95-A
号: 4
開始ページ: 713
終了ページ: 722
抄録: In remote control, efficient compression or representation of control signals is essential to send them through rate-limited channels. For this purpose, we propose an approach of sparse control signal representation using the compressive sampling technique. The problem of obtaining sparse representation is formulated by cardinality-constrained ℓ2 optimization of the control performance, which is reducible to ℓ1-ℓ2 optimization. The low rate random sampling employed in the proposed method based on the compressive sampling, in addition to the fact that the ℓ1-ℓ2 optimization can be effectively solved by a fast iteration method, enables us to generate the sparse control signal with reduced computational complexity, which is preferable in remote control systems where computation delays seriously degrade the performance. We give a theoretical result for control performance analysis based on the notion of restricted isometry property (RIP). An example is shown to illustrate the effectiveness of the proposed approach via numerical experiments.
著作権等: © 2012 The Institute of Electronics, Information and Communication Engineers
URL: http://www.ieice.org/eng/trans_online/index.html
URI: http://hdl.handle.net/2433/171259
DOI(出版社版): 10.1587/transfun.E95.A.713
出現コレクション:学術雑誌掲載論文等

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