.png){kind=icon}
返回
A projection-based algorithm for model-order reduction with H2 performance: A convex-optimization setting
.png){kind=icon}
PRE
AI
DOI：10.1016/j.automatica.2018.03.052.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A suboptimal and a simple solution to the H-2-model-order-reduction problem is given. The proposed procedure is a combination of projection and H-2 Model-order Reduction (MOR) techniques. To show the efficacy of the proposed method, a set of comparisons with classical MOR methods is provided with numerical simulations. The numerical algorithm is subsequently employed in the design of reduced order nonlinear systems satisfying the Input-to-State Stability (ISS) with respect to their inputs. Reduced order models for nonlinear electrical circuits are successfully built to demonstrate the usefulness and the performance of the developed procedure. (C) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Suboptimal H-2-model-order reduction
Model-order reduction of nonlinear systems
Electrical circuits
Convex-optimization
Input-to-state-stable (ISS) systems
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏Nonlinear input-normal realizations based on the differential eigenstructure of Hankel operators
OAAI
OAAI分享收藏
查看更多内容