| 用模型扩展法辨识具有非平稳扰动的系统 |
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| 引用本文： | 黄东,宋文忠. 用模型扩展法辨识具有非平稳扰动的系统[J]. 东南大学学报(自然科学版), 1990, 0(3) |
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| 作者姓名： | 黄东 宋文忠 |
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| 作者单位： | 东南大学自动化研究所，东南大学自动化研究所 |
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| 摘 要： | 在辨识实际系统时,非平稳噪声扰动是较多见的。目前用得较多的预滤波处理法由于受到一些先验知识的限制,常常得不到较好的辨识结果。本文通过对一类非平稳随机过程的描述,提出一种扩展辨识模型的修正辨识算法,可在不作滤波预处理的情况下,得到非平稳噪声扰动下系统参数的无偏估计。仿真试验证明了修正算法是简单可行的,且仍可在平稳随机噪声条件下使用。
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| 关 键 词： | 系统辨识 非平稳噪声 时变模型 |
Identification of System with Nonstationary Noise Using Extending Method of Models |
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| Huang Dong,Song Wenzhong Research Institute of Automation. Identification of System with Nonstationary Noise Using Extending Method of Models[J]. Journal of Southeast University(Natural Science Edition), 1990, 0(3) |
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| Authors: | Huang Dong Song Wenzhong Research Institute of Automation |
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| Affiliation: | Huang Dong;Song Wenzhong Research Institute of Automation |
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| Abstract: | The systems disturbed by nonstationary noise are often encounter- ed in the practical identification.The existing main method of rejecting the nonstationary noise is to design a prefilter for the system inputs and outputs in accordance with their frequency characteristics.But the use of the method is limited for it demands some prior knowledge.In this paper,We first sugg- est a model for a sort of nonstationary noise,then translate it into an equival- ent time-varying model.Thus a new revised algorithm is developed.By the revised algorithm,the unbiased parameter estimation of the system model can be got without prefiltering.The simulation proved that the revised algorithm is simple and available for both the stationary and nonstationary conditions. |
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| Keywords: | identification/system identification nonstationary noise timevarying model |
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