State-space models have been successfully employed for model order reduction and control purposes in acoustics the past. However, due to cubic complexity of singular value decomposition, which makes up core many subspace system identification (SSID) methods, construction large scale state-space from high-dimensional measurement data has problematic Recent advances numerical linear algebra broug...
