Basic algorithms and LAPACK-based Fortran software for multivariable system identification by subspace techniques are briefly described. Deterministic and combined deterministic-stochastic identification problems are dealt with using two approaches. A state space model is computed from input-output data sequences. Multiple data sequences collected by possibly independent identification experiments can be handled. Sequential processing of large data sets is provided as an option. Illustrative numerical examples are included
Published in:
Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on
Date of Conference: 15-18 Sep 1996