Title :
Algorithms and LAPACK-based software for subspace identification
Author_Institution :
Res. Inst. for Inf., Acad. of Sci., Bucharest, Romania
Abstract :
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
Keywords :
control system CAD; identification; mathematics computing; matrix algebra; multivariable control systems; software packages; state-space methods; LAPACK-based Fortran software; algorithms; control system CAD; deterministic-stochastic identification problems; input-output data sequences; large data sets; linear algebra software package; multiple data sequences; multivariable system identification; sequential processing; state space model; subspace identification; Informatics; Least squares approximation; Linear algebra; MATLAB; MIMO; Mathematical model; Parallel processing; Singular value decomposition; Software algorithms; State-space methods;
Conference_Titel :
Computer-Aided Control System Design, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-3032-3
DOI :
10.1109/CACSD.1996.555275
