基于状态空间的实时故障恢复和自修复分析建模及其在生物传感器中的应用

First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06) Pub Date : 2006-06-15 DOI:10.1109/AHS.2006.66

H. Kadim

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引用次数: 4

摘要

从故障(或故障)中恢复并在出现异常事件时保持恒定的性能是广泛应用中关注的主要问题。因此，需要能够动态和自主地改变(或调整)其行为的硬件。本文提出了一种用于异常事件实时检测和修复的状态空间分析模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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State-Space Based Analytical Modelling for Real-Time Fault Recovery and Self-Repair with Applications to Biosensors

Recovery from fault (or malfunction) and maintaining constant performance in the presence of unusual events is a major concern in a wide range of applications. Therefore, there is a need for hardware that is capable of changing (or adjusting) its behaviour dynamically and autonomously. In this paper, a state-space analytical model for the real-time detection of unusual events and repair is proposed

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First NASA/ESA Conference on Adaptive Hardware and Systems (AHS'06)

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