SIMBa: System Identification Methods leveraging Backpropagation
Project description
SIMBa (System Identification Methods leveraging Backpropagation) is an open-source toolbox leveraging the Pytorch Automatic Differentiation framework for stable state-space linear SysID. It allows the user to incorporate prior knowledge (like sparsity patterns of the state-space matrices) during the identification procedure. More details on https://github.com/Cemempamoi/simba.
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