Compressive Sampling for Remote Control Systems
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- NAGAHARA Masaaki
- Graduate School of Informatics, Kyoto University
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- MATSUDA Takahiro
- Graduate School of Engineering, Osaka University
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- HAYASHI Kazunori
- Graduate School of Informatics, Kyoto University
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説明
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.
収録刊行物
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E95.A (4), 713-722, 2012
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詳細情報 詳細情報について
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- CRID
- 1390001206309875072
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- NII論文ID
- 10030937772
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- NII書誌ID
- AA10826239
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- BIBCODE
- 2012IEITF..95..713N
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- ISSN
- 17451337
- 09168508
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- HANDLE
- 2433/171259
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- 本文言語コード
- en
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- データソース種別
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- IRDB
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