Recent studies have shown that adaptively regulating the sampling rate results in significant reduction in computational resources in embedded software based control. Selecting a uniform sampling rate for a control loop is robust, but overtly pessimistic for sharing processors among multiple control loops. Fine grained regulation of periodicity achieves better resource utilization, but is hard to implement online in a robust way. In this paper we propose multi-mode sampling period selection, derived from an offline control theoretic analysis of the system. We report significant gains in computational efficiency without trading off control performance.
@article{arxiv.1506.08538,
title = {Multi-mode Sampling Period Selection for Embedded Real Time Control},
author = {Rajorshee Raha and Soumyajit Dey and Partha Pratim Chakrabarti and Pallab Dasgupta},
journal= {arXiv preprint arXiv:1506.08538},
year = {2015}
}
Comments
Work in Progress Poster, 51st Design Automation Conference (DAC), San Francisco, CA, 7-11, June 2014