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Bayesian Subspace Identification in the MIMO Case
Published: December 30, 2025 |
arXiv ID: 2512.24435v1
By: Alexandre Rodrigues Mesquita
This report investigates the extension of the Bayesian Subspace System Identification method proposed in our previous work to the Multiple-Input Multiple-Output (MIMO) case. We derive new equivariant priors and posterior distributions specifically suited for the MIMO framework. Numerical results utilizing the DAISY dataset are reported to validate the approach.
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