| Volterra级数模型辨识算法的改进研究 |
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| 引用本文： | 吴立勋. Volterra级数模型辨识算法的改进研究[J]. 电子测试, 2022, 0(3): 101-103. DOI: 10.3969/j.issn.1000-8519.2022.03.030 |
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| 作者姓名： | 吴立勋 |
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| 作者单位： | 陆军航空兵学院航电和兵器工程系,北京,101123 |
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| 摘 要： | 本文研究了 Volterra级数模型全解耦辨识算法,提出Volterra级数模型并行辨识算法的设计思想,设计了并行算法.实验和仿真结果表明,该算法能有效减小模型的在线辨识时间,能有效克服Volterra级数模型辨识中的维数灾难问题,且收敛速度快、稳态精度高,有利于实现工程应用.
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| 关 键 词： | Volterra级数模型 辨识算法 并行算法 |
The improving study of the Volterra identification algorithm |
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| Wu Lixun. The improving study of the Volterra identification algorithm[J]. Electronic Test, 2022, 0(3): 101-103. DOI: 10.3969/j.issn.1000-8519.2022.03.030 |
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| Authors: | Wu Lixun |
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| Affiliation: | (Department of Avionics and Weapons Engineering,Army Aviation Institute,Beijing,101123) |
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| Abstract: | According to the study of the fully decoupled Volterra identification algorithm,it is firstly put forward that the design idea of the fully decoupled Volterra parallel identification algorithm.A parallel algorithm is designed.Belong to the emulation result,the algorithm of the models,can efficiently hurdle the problem of catastrophic dimension in the course of the Volterra series identification.The speed of its convergence is fast,the stability precision is very high,and then it is more utilizable. |
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| Keywords: | Volterra series identification algorithm parallel algorithm. |
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