| 基于遗传算法的H2系统降阶方法 |
| |
| 引用本文： | 吴涛,于军琪,黄永宣,胡保生. 基于遗传算法的H2系统降阶方法[J]. 西安科技大学学报, 2000, 20(2) |
| |
| 作者姓名： | 吴涛 于军琪 黄永宣 胡保生 |
| |
| 作者单位： | 西安交通大学,系统工程研究所,陕西,西安,710049 |
| |
| 摘 要： | 提出了基于H2 范数的系统降阶准则 ,并且利用遗传算法实现了基于该准则的系统降阶。这一方法的提出避免了传统方法的缺点 ,降阶系统达到了非常理想的性能。通过例子表明 ,该降阶方法优于目前普遍使用的其他降阶方法
|
| 关 键 词： | 遗传算法 H_2范数 系统降阶 |
REDUCED ORDER MODELING IN H2 CRITERION BASE ON GENETIC ALGORITHMS |
| |
| WU Tao,YU Jun-qi,HUANG Yong-xuan,HU Bao-sheng. REDUCED ORDER MODELING IN H2 CRITERION BASE ON GENETIC ALGORITHMS[J]. JOurnal of XI’an University of Science and Technology, 2000, 20(2) |
| |
| Authors: | WU Tao YU Jun-qi HUANG Yong-xuan HU Bao-sheng |
| |
| Abstract: | The reduced order modeling, which is in H 2 norm criterion, is put forward, and the method to resolve it based on genetic algorithms is obtained. This new method avoids the disadvantage of other traditional technique, and the characters of reduced order system with it are ideal. The example shows this method is better than others. |
| |
| Keywords: | genetic algorithms H_2 norm reduced order |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
