Resilient control systems Practical metrics basis for defining mission impact
Resilient control systems Practical metrics basis for defining mission impact
复制标题
弹性控制系统 定义任务影响的实用指标基础
DOI：
10.1109/isrcs.2014.6900108
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
C. Rieger
中科院分区：
文献类型：
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作者：
C. Rieger
“恢复力”描述了系统如何在受到干扰或威胁的情况下以可接受的正常水平运行。在这篇文章中，我们首先考虑了关键基础设施系统中固有的认知、网络-物理相互依赖关系，以及弹性与可靠性如何不同以减轻这些风险。提供了术语和度量基础，以整合在定义复原力解决方案时应考虑的认知、网络物理方面。我们采取了一种实用的方法，将此指标基础提升到系统完整性和业务案例指标，以建立“适当的操作”和“影响”。概念上的化学加工厂是用于演示如何应用系统完整性度量来确定性能以及对业务案例中的流程的影响的用例。
“Resilience” describes how systems operate at an acceptable level of normalcy despite disturbances or threats. In this paper we first consider the cognitive, cyber-physical interdependencies inherent in critical infrastructure systems and how resilience differs from reliability to mitigate these risks. Terminology and metrics basis are provided to integrate the cognitive, cyber-physical aspects that should be considered when defining solutions for resilience. A practical approach is taken to roll this metrics basis up to system integrity and business case metrics that establish “proper operation” and “impact.” A notional chemical processing plant is the use case for demonstrating how the system integrity metrics can be applied to establish performance, and as well, the effects on the process that roll into the business case.