| 符号算法在$\phi$-混和输入情况下的收敛性 |
| |
| 引用本文： | 张艳霞.符号算法在$\phi$-混和输入情况下的收敛性[J].系统科学与数学,2004,24(1):129-137. |
| |
| 作者姓名： | 张艳霞 |
| |
| 作者单位： | 中国科学院数学与系统科学研究院 北京 |
| |
| 摘 要： | 本文在E.Eweda 2000年文章结果的基础上,用符号算法(SA)考察了一类自适应辨识系统。证明了在输入和噪声信号是φ-混合情况下,对充分小的步长和任意初始权向量,权数偏离的绝对均值具有时间平均渐进收敛性。
|
| 关 键 词： | φ混和 独立性 自适应 辨识 权数偏离 |
| 修稿时间： | 2001年4月4日 |
CONVERGENCE ANALYSIS OF THE SIGN ALGORITHM WITH $\phi$-MIXING INPUT |
| |
| Yan Xia ZHANG.CONVERGENCE ANALYSIS OF THE SIGN ALGORITHM WITH $\phi$-MIXING INPUT[J].Journal of Systems Science and Mathematical Sciences,2004,24(1):129-137. |
| |
| Authors: | Yan Xia ZHANG |
| |
| Institution: | Academy of Mathematics and Systems Science,China Academy of Sciences, Beijing 100080 |
| |
| Abstract: | Based on result of E. Eweda(2000), this paper has considered the problem of adaptive plant identification using sign algorithm (SA). Asymptotic time-averaged convergence for the mean absolute weight misalignment was proved for sufficient small step size and any initial weight vector, with the input and noise sequences being mixing. |
| |
| Keywords: | Mixing independent adaptive identification weight misalignment |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《系统科学与数学》浏览原始摘要信息 |
| 点击此处可从《系统科学与数学》下载免费的PDF全文 |
