FREQUENCY-WEIGHTED BALANCED TRUNCATION METHOD: A LEAST-SQUARES APPROACH

摘要：

In this paper, a new frequency weighted balanced reduction technique for single-sided frequency weighted model reduction problem is presented. The method is based on first approximately simultaneously block diagonalizing the Gramians of the augmented system realization Using least-squares technique. The original system part of the resultant realization is then balanced and truncated to obtain stable reduced order models. Numerical examples and comparison with other well-known techniques are also included.

关键词： Model reduction Frequency weighting Stability

作者: MARK AGNEW VICTOR SREERAM

作者单位: School of Electrical, Electronicand Computer Engineering, University of Western Australia, Crawley, WA 6009, Australia

会议类型: 国际会议

会议名称: The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)

会议地点: 大连

会议语种:英文

页码: 630-640

在线出版日期: 2008-12-18（万方平台首次上网日期，不代表论文的发表时间）