Convergent algorithms for frequency weighted L2 model reduction
β Scribed by Wei-Yong Yan; Lihua Xie; James Lam
- Book ID
- 104301023
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 572 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0167-6911
No coin nor oath required. For personal study only.
β¦ Synopsis
This paper is concerned with computing an L2-optimal reduced-order model for a given stable multivariable linear system in the presence of inpuL and output frequency weightings. By parametrizing a class of reduced-order models in terms of an orthogonal projection and using manifold techniques as tools, both continuous and iterative algorithms are derived and their convergence properties are established. As an application, we show that an L2 optimal reduced-order filter in the closed-loop sense can be computed using these algorithms. (~) 1997 Elsevier Science B.V.
π SIMILAR VOLUMES
This paper deals with the problem of model reduction based on an optimization technique. The objective function being minimized in the impulse energy of the overall system with unity, single-sided and doublesided weightings. A number of properties of the gradient flows associated with the objective