Multiple-variance cross-correlation method for Volterra series identification

版本 1.1.0.0 (152.2 KB) 作者: Simone Orcioni

Multiple-variance Volterra series identification

https://github.com/orcioni/Volterra2.0

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更新时间 2021/9/25

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The multiple-variance identification method exploits input signals with different variances for nonlinear system identification with Volterra series.
It overcomes the problem of the locality of Volterra series identified with traditional identification methods, like those based on cross-correlation, that well approximate the system only for inputs that have approximately the same power of the identification signal.

引用格式

Simone Orcioni (2025). Multiple-variance cross-correlation method for Volterra series identification (https://github.com/orcioni/Volterra2.0), GitHub. 检索时间: 2025/11/12.

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Control Systems > System Identification Toolbox > Linear Model Identification >

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版本	已发布	发行说明
1.1.0.0	2021/9/25	changed name and description Multiple Memspan: it allows you to use different memspan for different order kernels
1.0.0.0	2017/4/12	changes in tool description

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