| 非线性滤波与辨识的应用与发展 |
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| 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 |
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| 作者姓名： | 王培德 史忠科 张友民 张洪才 |
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| 作者单位： | 西北工业大学自动控制系 西安71007(王培德，史忠科，张友民)，西北工业大学自动控制系 西安71007(张洪才) |
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| 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。
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| 关 键 词： | 非线性滤波 系统辨识 飞行轨迹 |
| 收稿时间： | 1992-05-21 |
| 修稿时间： | 1992-12-23 |
The Application and Development of Nonlinear System Filtering and Identification Methods |
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| WANG Peide,SHI Zhongke,ZHANG Youmin and ZHANG Hongcai. The Application and Development of Nonlinear System Filtering and Identification Methods[J]. Control Theory & Applications, 1993, 10(2): 121-128 |
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| Authors: | WANG Peide SHI Zhongke ZHANG Youmin ZHANG Hongcai |
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| Affiliation: | Department of Automatic Control, Northwestern Polytechnical University |
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| Abstract: | A survey of the applications and developments of nonlinear system filtering and identification meth-ods 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 applications show that the proposed new algorithms in this paper have much better convergen-cy, stability and computing efficiency than that of M. L. and E. K. F.. |
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| Keywords: | nonlinear filter system identification flight path reconstruction |
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