| 基于双率采样数据的动态调节系统辨识 |
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| 引用本文： | 丁锋. 基于双率采样数据的动态调节系统辨识[J]. 科学技术与工程, 2010, 10(35) |
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| 作者姓名： | 丁锋 |
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| 作者单位： | 1. 无锡职业技术学院机械技术学院,无锡,214121
2. 江南大学物联网工程学院,无锡,214122 |
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| 基金项目： | 国家自然科学基金项目（面上项目） |
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| 摘 要： | 对于双率采样数据的动态调节模型，利用多项式变换得到一个方程误差自回归滑动平均模型，使用估计的噪声项代替信息向量中的未知噪声，提出了辨识双率系统的广义增广随机梯度算法，以及广义增广遗忘梯度算法。仿真例子说明了提出算法的有效性。
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| 关 键 词： | 递推辨识 参数估计 随机梯度 |
| 收稿时间： | 2010-09-27 |
| 修稿时间： | 2010-09-27 |
Identification for Dynamical Adjustment Models from Dual-Rate Sampled Data |
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| Ding Feng. Identification for Dynamical Adjustment Models from Dual-Rate Sampled Data[J]. Science Technology and Engineering, 2010, 10(35) |
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| Authors: | Ding Feng |
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| Affiliation: | SONG Guang-lei,CHEN Xiao-ming1,DING Feng1(School of Mechanical Technology,Wuxi Institute of Technology,Wuxi 214121,P.R.China,School of IoT Engineering,Jiangnan University1,Wuxi 214122,P.R.China) |
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| Abstract: | For dynamical adjustment models with dual-rate sampled data, using the polynomial transformation technique leads to an equation-error autoregressive moving average model and by replacing the unknown noise terms in the information vector with their estimates, a generalized extended stochastic gradient algorithm and a generalized extended forgetting gradient algorithm are presented for identifying dual-rate systems. The simulation results indicate that the proposed algorithms are effective. |
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| Keywords: | Recursive identification parameter estimation stochastic gradient |
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