Title :
Recursive subspace identification of linear and nonlinear Wiener type models
Author :
Lovera, Marco ; Verhaegen, Michel
Author_Institution :
Dipt. di Elettronica, Politecnico di Milano, Italy
Abstract :
The problem of recursive subspace identification is considered and recursive formulations for the algorithms of the MOESP class are given. As a by-product, a recursive algorithm for the identification of nonlinear models of the Wiener type is also obtained
Keywords :
Toeplitz matrices; linear systems; nonlinear systems; observability; recursive estimation; state-space methods; Toeplitz matrix; Wiener type models; linear models; nonlinear models; observability; recursive algorithm; recursive subspace identification; state space; Equations; Matrix decomposition; Measurement errors; Noise measurement; Observability; Recursive estimation; State-space methods; Time measurement; White noise; Yttrium;
Conference_Titel :
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Trieste
Print_ISBN :
0-7803-4104-X
DOI :
10.1109/CCA.1998.721659
