Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Subspace-based methods for the identification of linear time-invariant systems
Automatica (Journal of IFAC) - Special issue on trends in system identification
Consistency and relative efficiency of subspace methods
Automatica (Journal of IFAC) - Special issue on trends in system identification
A linear regression approach to state-space subspace system identification
Signal Processing - Special issue: subspace methods, part II: system identification
Statistical analysis of novel subspace identification methods
Signal Processing - Special issue: subspace methods, part II: system identification
Identifying MIMO Wiener systems using subspace model identification methods
Signal Processing - Special issue: subspace methods, part II: system identification
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
On Consistency of Subspace Methods for System Identification
Automatica (Journal of IFAC)
Subspace identification of Bilinear and LPV systems for open- and closed-loop data
Automatica (Journal of IFAC)
Computers and Electronics in Agriculture
A novel subspace identification approach with enforced causal models
Automatica (Journal of IFAC)
Asymptotic properties of subspace estimators
Automatica (Journal of IFAC)
Hi-index | 22.15 |
In the literature results can be found which claim consistency for the subspace method under certain quite weak assumptions. Unfortunately, a new result gives a counter example showing inconsistency under these assumptions and then gives new more strict sufficient assumptions which however does not include important model structures such as, e.g. Box-Jenkins. Based on a simple least-squares approach this paper shows the possible inconsistency under the weak assumptions and develops only slightly stricter assumptions sufficient for consistency and which includes any model structure.