Title :
A subspace algorithm for balanced state space system identification
Author :
Moonen, Marc ; Ramos, José
Author_Institution :
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
fDate :
11/1/1993 12:00:00 AM
Abstract :
In an earlier paper by Moonen et at. (1989), 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 paper, 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
Keywords :
identification; linear systems; multivariable control systems; state-space methods; transient response; Kung´s realization algorithm; balanced coordinates; balanced state space system; identification; impulse response based realization algorithms; input-output data; multivariable linear systems; subspace algorithm; Data mining; Deconvolution; Filtering; Linear systems; Quantization; Reduced order systems; Roundoff errors; Sensitivity analysis; State-space methods; System identification;
Journal_Title :
Automatic Control, IEEE Transactions on
