ModelOrderReduction:Constructasimplifiedsystemtoapproximatetheoriginalsystemwithreasonableaccuracy.LinearModelOrderReduction LinearDynamicsystem:dx(t)CGx(t)Bu(t)dty(t)LTx(t)ReductionMethodsarematureforLinearSystem •Typicalapplication:RC,RL,LC,andRLCcircuits.•Speed-up:10to100ormore,depends...
培训学习资料-MOR(ModelOrderReduction)解读
Functions for performing model reduction at the MATLAB® command prompt, in scripts, or in your own functions. Reduce Model Order task for generating code in the Live Editor. When you are working in a live script, use this task to interactively experiment with model-reduction methods and pa...
model-order reduction of large LTI systems. The balanced realization-based model reduction methods provide an error-bound between the transfer function of the original and that of the reduced system.The bottleneck in balanced truncation methods is the computational complexity for solving the Lyapunov eq...
频域问题建模与调和平衡(Harmonic Balance Method)方程组求解积体电路模拟之模式降阶(Model Order Reduction)法 ymlabcad02.eic.nctu.edu.tw|基于2个网页 3. 模型简化 ...me)其阶梯网路(ladder network)在模型简化(model order reduction)前的准确度问题。
Model Order Reduction Techniques 作者:Zu-Qing Qu 页数:388 定价:1305.00 元 ISBN:9781852338077 豆瓣评分 目前无人评价 评价: 写笔记 写书评 加入购书单 分享到 推荐 我要写书评 Model Order Reduction Techniques的书评 ···(全部 0 条)
Many successful model order reduction approaches have been introduced to reduce this computational burden and serve as surrogate models for fluid systems [10], [11], [12], especially in settings where the traditional methods require repeated model evaluations over a large range of parameter values ...
2.5 Parametric model order reduction MPG and MAG developed efficient parametric/parameterized Model Order Reduction (pMOR) methods and techniques for fast simulation of electro-thermal coupled models [19, 20] and for fast Uncertainty Quantification [21] of nanoelectronic, electro-thermal models with ran...
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Model order reduction (MOR) is a key technology to transfer highly detailed and complex simulation models to other domains and life cycle phases. Reducing the degree of freedom, i.e., increasing the speed of model execution while maintaining required accuracies and predictability, opens up new ...