Adaptive Regulation of Sampling Rates for Power Efficient Embedded Control system Design

TL;DR

This paper proposes adaptive algorithms to regulate sampling rates in embedded control systems, aiming to optimize power efficiency while maintaining control performance, demonstrated through experimental results.

Contribution

It introduces novel online algorithms for adjusting sampling rates in embedded control systems to balance power consumption and control quality.

Findings

Improved power efficiency in embedded control systems

Effective online regulation of sampling rates

Demonstrated trade-off management between power and performance

Abstract

In recent times adaptive regulation of sampling rates has gained significant attention in research community and researchers has demonstrated it's effectiveness in embedded control applications from different perspectives. In low power embedded control systems, the sampling rate of the control tasks has a direct relationship with control performance and power consumption. In this paper, we investigate the possibility of improving the power efficiency of low power embedded control systems by regulating the sampling rate of the control tasks. On this regard, we present algorithmic approaches for on-line regulation of sampling rates of the control task under some power-performance trade-off. We present elaborative results which demonstrate the efficacy of our proposed approaches.