| 引用本文: | 王培德,史忠科,张友民,张洪才.非线性滤波与辨识的应用与发展[J].控制理论与应用,1993,10(2):121~128.[点击复制] |
| WANG Peide, SHI Zhongke，ZHANG Youmin and ZHANG Hongcai.The Application and Development of Nonlinear System Filtering and Identification Methods[J].Control Theory and Technology,1993,10(2):121~128.[点击复制] |
|
| 非线性滤波与辨识的应用与发展 |
| The Application and Development of Nonlinear System Filtering and Identification Methods |
| 摘要点击 828 全文点击 370 投稿时间：1992-05-21 修订日期：1992-12-23 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 |
| 1993,10(2):121-128 |
| 中文关键词 非线性滤波 系统辨识 飞行轨迹重构 |
| 英文关键词 nonlinear systems filter system identifictation flight path reconstruction |
| 基金项目 |
|
| 中文摘要 |
| 本文对非线性滤波与辨识的应用与发展作了简略回顾；对常用的M.L.和E.K.F.两种算法进行了分析，指出存在的问题，提出了改进意见。在这基础上提出了新的算法。经过大量仿真和实际应用，证明是有效的。 |
| 英文摘要 |
| A survey of the applications and developments of nonlinear system filtering and identification methods is presented in this paper. Two kinds of ordinary Maximum Likelihood (M. L. ) and Extended Kalman Filter (E. K. F. ) methods for nonlinear system are reviewed. In order to overcome the drawback of M. L. and E. K. F. , a series of newly improved algorithms are proposed based on the application to aircraft flight test data processing. Simulations and real application show that the proposed new algorithms in this paper have much better convergency, stability and computing efficiency than of M. L. and E. K. F. . |
|
|
|
|
|