We propose that the Matrix Profile data structure, conventionally applied to large scale time-series data mining, is applicable to the analysis and suppression of cyclical error in electromechanical systems, paving the way for an intelligent family of adaptable control systems which respond to environmental error at a computational cost low enough to be practical in embedded applications. We construct and evaluate the efficacy of a control algorithm utilizing the Matrix Profile, which we call Cyclical Electromechanical Error Denial System (CEEDS).

中文翻译：

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使用矩阵轮廓的循环机电错误拒绝系统

我们提出，通常应用于大规模时间序列数据挖掘的矩阵轮廓数据结构适用于机电系统中循环误差的分析和抑制，为响应环境误差的自适应控制系统的智能系列铺平了道路以足够低的计算成本在嵌入式应用中实用。我们构建并评估利用矩阵配置文件的控制算法的功效，我们称之为循环机电错误拒绝系统 (CEEDS)。