Compressive Sampling for Remote Control Systems

Masaaki NAGAHARA, Takahiro MATSUDA, Kazunori HAYASHI

Summary :

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 ² optimization of the control performance, which is reducible to ¹-² optimization. The low rate random sampling employed in the proposed method based on the compressive sampling, in addition to the fact that the ¹-² 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.

• Publication: IEICE TRANSACTIONS on Fundamentals Vol.E95-A No.4 pp.713-722
• Publication Date: 2012/04/01
• Online ISSN: 1745-1337
• DOI: 10.1587/transfun.E95.A.713
• Type of Manuscript: Special Section PAPER (Special Section on Reliable Robust Radio Control Technology)

Authors

Masaaki NAGAHARA
Takahiro MATSUDA
Kazunori HAYASHI

Keyword

remote control,  compressive sampling,  compressed sensing,  sparse representation,  ¹-² optimization