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Efficient Simulation of Nonlinear Transmission Lines via Model-Order Reduction

机译:通过模型降阶对非线性传输线进行高效仿真

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摘要

A new method is introduced for simulation of nonlinear transmission lines based on model-order reduction using the proper-orthogonal decomposition technique. An algorithm is presented for estimating the optimum order of the resulting reduced nonlinear macromodel ensuring its efficiency and accuracy. In contrast to previous publications, the order-estimation algorithm is integrated with the reduction technique leading to significant reduction in the computational cost associated with the generation of the reduced model.
机译:引入了一种基于模型正交约简的非线性正交传输线仿真方法。提出了一种算法,用于估计所得简化非线性宏模型的最优顺序,以确保其效率和准确性。与以前的出版物相比,订单估计算法与约简技术集成在一起,从而大大减少了与约简模型的生成相关的计算成本。

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