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http://ir.ncue.edu.tw/ir/handle/987654321/15574
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| 題名: | Super-Optimal Model Reduction in Sense of Hankel-norm |
| 作者: | Young, Jieh-Shian;Wei, Lin-Fang |
| 貢獻者: | 車輛科技研究所 |
| 關鍵詞: | Inner function;Inverse function;Model reduction;Optimal solution;Schmidt pair |
| 日期: | 2004-03
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| 上傳時間: | 2013-02-27T03:12:48Z
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| 出版者: | IEEE |
| 摘要: | The best approximation in the optimal solution set of the Hankel-norm model reduction problem is studied in this paper since the optimal solutions are not unique for linear multi-input-multi-output systems (matrix-value transfer functions). This kind of model reduction problems will be defined properly and intuitively. The sub-layers of the optimal model errors will be characterized by the appropriate Schmidt pairs. The optimal solution set will also be parametrized in the suitable domain in order to keep the reduced model with the constant order after the optimatizations. The results from this proposed approach show that they are better than those from the other optimal approximate models in sense of the Hankel operator singular values. |
| 關聯: | Proceeding of the 2004 IEEE International Conference on Networking, Sensing & Control, 2: 767-772 |
| 顯示於類別: | [車輛科技研究所] 會議論文
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