Samenvatting
Extended abstract
We present a recently developed method for model reduc- tion of nonlinear systems based on newly defined Gramians for the variational system. Within the contraction framework, global properties can obtained for the reduced order nonlin- ear systems. Computational considerations lead to sampling based Gramian approximations, that provide a way to com- pute the Gramians from data, and thus provide a way to compute the balanced realization based on which a reduced order nonlinear model can be obtained.
We present a recently developed method for model reduc- tion of nonlinear systems based on newly defined Gramians for the variational system. Within the contraction framework, global properties can obtained for the reduced order nonlin- ear systems. Computational considerations lead to sampling based Gramian approximations, that provide a way to com- pute the Gramians from data, and thus provide a way to compute the balanced realization based on which a reduced order nonlinear model can be obtained.
| Originele taal-2 | English |
|---|---|
| Status | Submitted - 2023 |
| Evenement | 21st European Control Conference - University Politehnica of Bucharest, Bucharest, Romania Duur: 13-jun.-2023 → 16-jun.-2023 https://ecc23.euca-ecc.org/ |
Conference
| Conference | 21st European Control Conference |
|---|---|
| Verkorte titel | ECC 2023 |
| Land/Regio | Romania |
| Stad | Bucharest |
| Periode | 13/06/2023 → 16/06/2023 |
| Internet adres |