Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4975188 | Journal of the Franklin Institute | 2015 | 13 Pages |
Abstract
In this paper, we focus on optimal H2 model reduction methods for bilinear systems. The optimal H2 model reduction problem can be viewed as a minimization problem on Grassmann manifold. By utilizing the geometry of Grassmann manifold, a gradient descent model reduction algorithm and a conjugate gradient model reduction algorithm based on Grassmann manifold are given. These two algorithms can simulate well the behavior of the original system and the order-reduced systems generated by our algorithms can satisfy the minimal stability requirement. Numerical examples are given to illustrate the effectiveness of our methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Kang-Li Xu, Yao-Lin Jiang, Zhi-Xia Yang,