Outstanding Issues in Model Order Reduction
Outstanding Issues in Model Order Reduction
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模型降阶中的突出问题
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
L. M. Silveira
中科院分区：
文献类型：
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作者：
João M. S. Silva;J. Villena;P. Flores;L. M. Silveira
模型降阶可以追溯到许多年前，并在各种领域中得到广泛应用，在过去的几十年中，模型降阶已经成为复杂物理系统仿真，控制和优化的关键步骤。降低这些系统的模型的阶数或维数对于实现其模拟和验证至关重要。虽然在过去几年中，在这些技术的稳健性、效率和适用性方面取得了很大进展，但某些相关问题仍然构成困难或新的挑战，现有方法无法令人满意地解决这些问题。此外，降维至关重要的新应用正变得越来越重要，在寻求提高性能方面提出了新的问题。
With roots dating back to many years ago and applications in a wide variety of areas, model order reduction has emerged in the last few decades as a crucial step in the simulation, control, and optimization of complex physical systems. Reducing the order or dimension of models of such systems, is paramount to enabling their simulation and verification. While much progress has been achieved in the last few years regarding the robustness, efficiency and applicability of these techniques, certain problems of relevance still pose difficulties or renewed challenges that are not satisfactorily solved with the existing approaches. Furthermore, new applications for which dimension reduction is crucial, are becoming increasingly relevant, raising new issues in the quest for increased performance.