Adaptive Regulation of Sampling Rates for Power Efficient Embedded Control system Design
For designers of low-power embedded control systems, this work addresses the trade-off between control performance and power consumption through adaptive sampling rate regulation.
This paper investigates improving power efficiency in low-power embedded control systems by adaptively regulating sampling rates, presenting algorithmic approaches for online regulation under power-performance trade-offs.
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.