论文标题
非线性网络系统的基于聚类的模型订单降低
Clustering-Based Model Order Reduction for Nonlinear Network Systems
论文作者
论文摘要
通过投影聚类已被提出，以保留线性多代理系统中的网络结构的一种方式。在这里，我们将此方法扩展到一类非线性网络系统。此外，我们概括了聚类方法，该方法在通过投影获得的任意减少阶模型中恢复网络结构。我们在许多示例中演示了这种方法。
Clustering by projection has been proposed as a way to preserve network structure in linear multi-agent systems. Here, we extend this approach to a class of nonlinear network systems. Additionally, we generalize our clustering method which restores the network structure in an arbitrary reduced-order model obtained by projection. We demonstrate this method on a number of examples.
