In this paper, a concept for continuous-time dynamic systems parameter identification using modulating function approach is presented. It refers to linear as well as selected non-linear systems. It shows the possibility of direct application without converting differential equation. In particular cases direct application can decrease the amount of computation in non-linear system identification, which generally requires Fourier and Hartley transforms and convolutions. Furthermore, it is shown that parameter identification of dynamic systems might be ambiguous due to the signals used in system identification. This ambiguity should be considered before determining the final mathematical model. During the computation we also focused on the online identification which enables to verify the results obtained consequently from updated data and abort the identification in appropriate moment.
Authors
- prof. dr hab. inż. Eligiusz Mieloszyk link open in new tab ,
- Robert D. Gańko
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1504/ijmic.2013.057569
- Category
- Publikacja w czasopiśmie
- Type
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Language
- angielski
- Publication year
- 2013
