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Robust optimization based backtrace method for analog circuits

机译:基于鲁棒优化的模拟电路的备用方法

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We propose a new robust approach to signal backtrace for efficiently testing embedded analog modules in a large system. The proposed signal backtrace method is formulated as a solution to a multi-point boundary value problem (BVP), with constraints on the output state and the input. This error constraint minimizes large spurious deviations in the input signal and the convergence problems that arise if multiple solutions exist or if the desired signal does not exist in the feasible signal space. As an additional attractive advantage, this formulation preserves the core iteration structure of a SPICE-like simulator without modifications, greatly easing implementation.
机译:我们提出了一种新的强大方法来信号回溯,以便在大系统中有效地测试嵌入式模块。所提出的信号回溯方法被配制为多点边值问题(BVP)的解决方案,在输出状态和输入上具有约束。该误差约束使输入信号中的大量杂散偏差最小化,如果存在多种解决方案,或者如果所需的信号不存在于可行信号空间中,则会最大限度地提出会收敛问题。作为一种额外的有吸引力的优点,该配方保留了类似香料的模拟器的核心迭代结构而无需修改,大大缓解实施。

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