A Subspace Algorithm for Balanced State Space System Identification
IEEE Transactions on Automatic Control
ISSN or ISBN
n an earlier paper ([SI), an algorithm has been introduced for identifying multivariable linear systems directly from input-output data. This new algorithm falls in the class of so-called subspace methods and resembles impulse response based realization algorithms. In this note, we extend this algorithm by incorporating a balancing step, such that the identified model is always in balanced coordinates. With this modification, one obtains a data driven counterpart for Kung’s realization algorithm.
Ramos, Jose A. and Moonen, Marc, "A Subspace Algorithm for Balanced State Space System Identification" (1993). CEC Faculty Articles. 424.