Name
Abstract | ||
|---|---|---|
We develop a novel lifting technique for nonlinear system identification based on the framework of the Koopman operator. The key idea is to identify the linear (infinite dimensional) Koopman operator in the lifted space of observables, instead of identifying the nonlinear system in the state space, a process which results in a linear method for nonlinear systems identification. The proposed liftin... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TAC.2019.2941433 | IEEE Transactions on Automatic Control |
Keywords | Field | DocType |
Noise measurement,Trajectory,Aerospace electronics,Convergence,Biological system modeling,Nonlinear dynamical systems | Convergence (routing),Data point,Mathematical optimization,Nonlinear system,Algorithm,Nonlinear system identification,Linear subspace,Operator (computer programming),Chaotic,State space,Mathematics | Journal |
Volume | Issue | ISSN |
65 | 6 | 0018-9286 |
Citations | PageRank | References |
4 | 0.46 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexandre Mauroy | 1 | 59 | 8.21 |
| Goncalves, J. | 2 | 404 | 42.24 |