Newton-Raphson迭代系统识别方法研究

Wanjun Zhang, Feng Zhang, Jingxuan Zhang, Jingyi Zhang, Jingyan Zhang
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引用次数: 20

摘要

系统辨识方法与混合建模方法,采用由相同理论方法建立的数学模型,由于被控对象的结构、参数和环境的不确定性,受到特定环境等因素的影响。在不同的环境下,数学模型的具体结构参数并不完全相同。因此,系统辨识方法比理论建模方法更具有实际应用价值。本文提出了一种牛顿-拉夫森评价系统的辨识方法。可以满意地识别出以往识别系统的不足,并进行仿真实验和物理实验。验证了所提出的识别和建模方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on System Recognition Method for Newton-Raphson Iterations
System identification method and hybrid modeling method, using a mathematical model established by the same theoretical method, due to the uncertainty of the structure, parameters, and environment of the controlled object, are affected by factors such as the specific environment. In different environments, the specific structural parameters of the mathematical model are not exactly the same. Therefore, the system identification method has more practical application value than the theoretical modeling method. In this paper, a Newton-Raphson evaluation system identification method is proposed. The shortcomings of the previous identification system can be satisfactorily identified, and simulation experiments and physical experiments can be carried out. The feasibility and effectiveness of the proposed identification and modeling method are verified.
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