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Paper details
Number 1 - March 2001
Volume 11 - 2001
Some algorithmic aspects of subspace identification with inputs
Alessandro Chiuso, Giorgio Picci
Abstract
It has been experimentally verified that most commonly used subspace methods for identification of linear state-space systems with exogenous inputs may, in certain experimental conditions, run into ill-conditioning and lead to ambiguous results. An analysis of the critical situations has lead us to propose a new algorithmic structure which could be used either to test difficult cases and/or to implement a suitable combination of new and old algorithms presented in the literature to help fixing the problem.
Keywords
subspace identification, multivariable systems, identification with inputs, ill-conditioning