Compressive sampling for networked feedback control

Author

Nagahara, Masaaki ; Quevedo, D.E. ; Matsuda, Tadamitsu ; Hayashi, K.

fYear

2012

fDate

25-30 March 2012

Firstpage

2733

Lastpage

2736

Abstract

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.

Keywords

feedback; iterative methods; networked control systems; optimisation; signal sampling; ℓ¹-ℓ² optimization; compressive sampling; control performance; control vector compression; fast iterative shrinkage-thresholding algorithm; networked feedback control system; rate-limited channel; sparsity-promoting control scheme; Educational institutions; Feedback control; Networked control systems; Optimal control; Optimization; Vectors; ℒ¹-ℒ² optimization; compressive sampling; networked control;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Conference_Location

Kyoto

ISSN

1520-6149

Print_ISBN

978-1-4673-0045-2

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2012.6288482

Filename

6288482