| 引用本文: | 袁廷奇,刘文江.非线性Hammerstein系统辨识的动态分离方法[J].控制理论与应用,2002,19(4):619~622.[点击复制] |
| YUAN Ting-qi,LIU Wen-jiang.Identification of Hammerstein model based on dynamical separation technology[J].Control Theory and Technology,2002,19(4):619~622.[点击复制] |
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| 非线性Hammerstein系统辨识的动态分离方法 |
| Identification of Hammerstein model based on dynamical separation technology |
| 摘要点击 1305 全文点击 1856 投稿时间：2000-03-03 修订日期：2001-05-15 |
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| DOI编号 10.7641/j.issn.1000-8152.2002.4.029 |
| 2002,19(4):619-622 |
| 中文关键词 Hammerstein模型 系统辨识 中间输入 动态分离 |
| 英文关键词 Hammerstein model system identification intermediate input dynamical separation |
| 基金项目 国家自然科学基金(69874030)资助项目. |
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| 中文摘要 |
| 利用同幅值的M序列和逆M序列作为输入信号, 对Hammerstein模型中的线性动态部分进行分离处理, 通过辨识得到一个线性动态模型. 基于此线性模型, 依据系统的测量输出重构出系统的中间输入. 最后由系统的测试输入和中间输入估计出非线性部分的参数. 仿真结果表明本方法的有效性. |
| 英文摘要 |
| By using two different pseudo_random binary signals (PRBS) as the system input, the linear dynamical part of the Hammerstein system can be separated by simple algebraic operations. So the parameters of the linear part can be identified. Then the intermediate input between the nonlinear part and linear part is reconstructed by using observed output based on the estimated linear part. Finally, the nonlinear element is identified by using the test input signal and the reconstructed intermediate input. The effectiveness of the proposed algorithm is demonstrated by simulation examples. |