Design of efficient error resilience in signal processing and control systems: From algorithms to circuits

Design of efficient error resilience in signal processing and control systems: From algorithms to circuits
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信号处理和控制系统中高效错误恢复的设计:从算法到电路

DOI:
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发表时间:
2017
期刊:
IEEE International Symposium on On-Line Testing and Robust System Design
影响因子:
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通讯作者:
A. Chatterjee
A. Chatterjee
中科院分区:
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文献类型:
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作者:
J. Abraham;Suvadeep Banerjee;A. Chatterjee

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从智能电网到传感器网络和机器人,社会中网络物理系统的激增将信号处理和控制系统中的错误恢复能力提高到了前所未有的水平。在处理器中的传感和控制算法执行(一直到传感和驱动电路)中对错误的恢复能力对于安全关键型应用至关重要,在这些应用中,未检测到的错误可能会造成灾难性的后果。在本次演讲中,我们将描述 80 年代中期针对信号处理和矩阵计算开发的基于算法的容错领域的思想如何应用于电气工程中的电路和系统的广阔领域;从数字和模拟滤波器到复杂的非线性自主控制系统。关键的见解是,电气系统从根本上可以用具有等效矩阵表示的线性和非线性微分方程来表示。这些表示可以用额外的检查状态进行编码,这些状态与系统的所有可观察状态具有已知的关系,独立于系统驱动输入。通过检查这种关系的有效性,可以以接近零的延迟和最小的硬件开销实时检测和减轻错误。通过不同电气工程领域的示例说明了所提出方法的广阔前景。
The proliferation of cyber physical systems in society, from the smart grid to sensor networks and robots has raised the importance of error resilience in signal processing and control systems to unprecedented levels. Resilience to errors in sensing and control algorithm execution in processors all the way down to circuits for sensing and actuation is of critical importance in safety-critical applications where undetected errors can have disastrous consequences. In this presentation, we describe how ideas in the domain of algorithm-based fault tolerance developed in the mid-80s for signal processing and matrix computations can be applied to a vast domain of circuits and systems in electrical engineering; from digital and analog filters to complex nonlinear autonomous control systems. The key insight is that electrical systems can be fundamentally represented by linear and nonlinear differential equations with equivalent matrix representations. These representations can be encoded with extra check states that bear a known relationship with all the observable states of the system independent of the system driving inputs. By checking for the validity of this relationship, errors can be detected and mitigated in real-time with near-zero latency with minimal hardware overhead. The broad vision of the proposed methodology is illustrated with examples from different electrical engineering domains.