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Systems modeling, analysis and control (SMAC) toolbox: An insight into the robustness analysis library

机译:系统建模,分析和控制(SMAC)工具箱:对健壮性分析库的深入了解

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The analysis library of the new SMAC Toolbox for Matlab implements a set of μ-analysis based tools to evaluate the robustness properties of linear time-invariant systems affected by time-invariant uncertainties. These tools allow to compute both lower and upper bounds on the (skewed) robust stability margin, the worst-case H∞ performance level, as well as the worst-case gain, phase, modulus and time-delay margins. The key idea is to solve the problem on just a coarse frequency grid and to perform a fast validation on the whole frequency range, which results in guaranteed but conservative bounds on the aforementioned quantities. Some heuristics are then applied to determine a set of worst-case parametric configurations leading to over-optimistic bounds. A branch and bound scheme is finally implemented, so as to tighten these bounds with the desired accuracy, while still guaranteeing a reasonable computational complexity.
机译:用于Matlab的新SMAC工具箱的分析库实现了一组基于μ分析的工具,以评估受时不变性影响的线性时不变系统的鲁棒性。这些工具允许计算(偏斜的)鲁棒稳定性裕度,最坏情况下的H∞性能水平以及最坏情况下的增益,相位,模量和时延裕度的上下限。关键思想是仅在粗糙的频率网格上解决问题,并在整个频率范围内执行快速验证,这将确保上述数量的保证但保守的界限。然后,将一些启发式方法应用于确定导致最优化界限的一组最坏情况的参数配置。最终实现了分支定界方案,以便以所需的精度收紧这些边界,同时仍保证合理的计算复杂性。

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