Recent Work and Publications
My Ph.D thesis from 1990 has been digitized by the university library:
T. Wigren, "Recursive identification based on the nonlinear Wiener model", Ph.D. thesis, Acta Universitatis Upsaliensis, Uppsala Dissertations from the Faculty of Science 31, Uppsala University, Uppsala, Sweden, December, 1990. Available: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-118290
The following paper presents an algorithm for recursive identification of a nonlinear continuous time state space ODE model with unknown nonlinear measurement equation. The paper also provides a convergence analysis based on averaging.
- T. Wigren , "Recursive identification of nonlinear state space models", submitted to Automatica, December, 2021.
SW is available in the report
- T. Wigren, "MATLAB software for recursive identification and scaling using a structured nonlinear black-box model – revision 7", Technical Reports from the Department of Information Technology, 2021-008, Uppsala University, Uppsala, Sweden, December, 2021.
The previous software package that handles identification of a delay in combination with a continuous time ODE model, has also been augmented with an unknown output equation. The new revision of this SW package is described by the report
- T. Wigren, "MATLAB software for nonlinear and delayed recursive identification - revision 2", Technical Reports from the Department of Information Technology, 2022-002, Uppsala University, Uppsala, Sweden, January, 2022.
The SW can be downloaded from http://www.it.uu.se/katalog/tw/software.