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Auto-identification of positive feedback loops in multi-state vulnerable circuits

机译:多状态脆弱电路中正反馈回路的自动识别

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A systematic method is proposed for automatically identifying positive feedback loops (PFLs) in analog/mixed-signal circuits. The method first converts the netlist of a circuit into a directed dependency graph (DDG) which captures the critical relationships among branch currents and node voltages. It then utilizes graph theory techniques to find all feedback loops from the DDG and finally, criterion are developed to determine the PFLs. Since multiple states is caused by the PFLs, this method could identify the circuit's vulnerability to undesigned operating points only by its structure without the computation of DC solutions. The proposed approach is implemented in program and simulation results show it could identify all the PFLs very robustly.
机译:提出了一种系统的方法来自动识别模拟/混合信号电路中的正反馈回路(PFL)。该方法首先将电路的网表转换为有向依赖图(DDG),该图捕获分支电流和节点电压之间的关键关系。然后,它利用图论技术从DDG中找到所有反馈回路,最后开发出确定PFL的标准。由于多个状态是由PFL引起的,因此该方法仅通过其结构即可识别电路对未设计工作点的脆弱性,而无需计算DC解决方案。所提出的方法已在程序中实现,仿真结果表明,该方法可以非常可靠地识别所有PFL。

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