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Uncertainty modeling for robustness analysis of failure detection and accommodation systems

机译:用于故障检测和适应系统的鲁棒性分析的不确定性模型

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摘要

Formal robustness analysis of failure detection and accommodation systems could play an important role in their validation and ultimate certification. However, formulation of linear fractional transformation (LFT) models can be very difficult for complex parameter-dependent systems. The paper presents a matrix-based computational approach that can be implemented in software for obtaining LFT models of complex systems involving parametric uncertainties, faults, and failures. Several examples are presented, including, a modeling framework for performing robustness analyses of faulty uncertain systems and failure detection and accommodation systems.
机译:故障检测和适应系统的形式鲁棒性分析可以在其验证和最终认证中发挥重要作用。但是,对于复杂的依赖参数的系统,线性分数变换(LFT)模型的制定可能非常困难。本文提出了一种基于矩阵的计算方法,该方法可以在软件中实现,以获取涉及参数不确定性,故障和故障的复杂系统的LFT模型。提出了几个示例,包括用于执行故障不确定系统以及故障检测和适应系统的鲁棒性分析的建模框架。

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