English  |  正體中文  |  简体中文  |  Items with full text/Total items : 6498/11670
Visitors : 25693926      Online Users : 121
RC Version 3.2 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15576

Title: The Best Optimal Hankel-norm Approximation of Railway Active Wheelset Models
Authors: Young, Jieh-Shian
Contributors: 車輛科技研究所
Date: 2010
Issue Date: 2013-02-27T03:12:51Z
Publisher: IEEE
Abstract: This paper presents an application of the model reduction for the wheelset of the railway vehicle from the best optimal Hankel-norm approximation. It is necessary to reduce the complexity of the control synthesis by model reduction techniques since the wheelset model is highly interactive with high order. The proposed approach solves the best optimal solution layer by layer from any optimal solution of each layer. This approach adopts the left inverses of inner function vectors characterized from the Schmidt pair. The McMillan degree of the reduced-order model for the successive layer can be determined. Fuerthermore, this successive layer will also become another approximation problem. This paper also proposes an algorithm to calculate the best optimal approximation recursively. The best optimal Hankel-norm approximation will be compared with the other optimal Hankel-norm approximation in frequency domain for the transfer function matrix and all its arrays. The results reveal that the best optimal Hankel-norm approximation is better in sense of the singular values not only in all layers but in all arrays.
Relation: Proceedings of the 2010 American Control Conference, : 2724-2729
Appears in Collections:[車輛科技研究所] 會議論文

Files in This Item:

File SizeFormat

All items in NCUEIR are protected by copyright, with all rights reserved.


DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback