Compressive Sampling for Networked Feedback Control
Systems and Control
2016-11-15 v1 Information Theory
math.IT
Optimization and Control
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.
Cite
@article{arxiv.1308.2291,
title = {Compressive Sampling for Networked Feedback Control},
author = {Masaaki Nagahara and Daniel E. Quevedo and Takahiro Matsuda and Kazunori Hayashi},
journal= {arXiv preprint arXiv:1308.2291},
year = {2016}
}