Bayesian Subspace Identification in the MIMO Case
Systems and Control
2026-01-01 v1 Systems and Control
Applications
Abstract
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.
Cite
@article{arxiv.2512.24435,
title = {Bayesian Subspace Identification in the MIMO Case},
author = {Alexandre Rodrigues Mesquita},
journal= {arXiv preprint arXiv:2512.24435},
year = {2026}
}