Wiener-Hammerstein Process
收藏arXiv2025-09-30 收录
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资源简介：
该数据集包含了来自Wiener-Hammerstein系统的时域输入输出测量数据，该系统是一种由两个LTI模块之间的静态非线性块组成的结构。该数据集用于评估AL-SSNN模型在与广义非线性模型和标准LTI模型比较时的性能表现。数据集总量为188,000个数据点（其中100,000个用于训练，88,000个用于测试），其任务是对非线性控制系统进行系统识别。
This dataset contains time-domain input and output measurement data from the Wiener-Hammerstein system, a structure composed of a static nonlinear block between two LTI modules. It is used to evaluate the performance of the AL-SSNN model when compared against generalized nonlinear models and standard LTI models. The dataset has a total of 188,000 data points, with 100,000 allocated for training and 88,000 for testing, and its target task is system identification for nonlinear control systems.
