On the ill-conditioning of subspace identification with inputs (Q1433057)

The authors present an error analysis which applies to some commonly used subspace identification methods with inputs. They show that a presence of collinearity of the regressors these methods may lead to inaccurate estimates of the system parameters. The authors also demonstrate that some of the most well-known algorithms in the literature are ``equivalent'' to the algorithm presented in this paper.