Name
Abstract | ||
|---|---|---|
This note considers the problem of identifying a discrete-time nonlinear system, within a finite family of possible models, from data sequences of a finite length. The problem is approached by resorting to the notion of output distinguishability. This amounts to asking whether output data sequences generated by different models can be distinguished from one another. A number of results are presented with examples. Connections with conditions for linear systems are established. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TAC.2013.2283132 | Automatic Control, IEEE Transactions |
Keywords | Field | DocType |
discrete time systems,linear systems,nonlinear control systems,data sequences,discrete-time nonlinear system,finite length,linear systems,output distinguishability,Least-squares methods,mode-observability,nonlinear systems | Flatness (systems theory),Observability,Nonlinear system,Linear system,Discrete time nonlinear systems,Control theory,Data sequences,Time-invariant system,Mathematics | Journal |
Volume | Issue | ISSN |
59 | 4 | 0018-9286 |
Citations | PageRank | References |
3 | 0.41 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Baglietto | 1 | 215 | 16.91 |
| Giorgio Battistelli | 2 | 623 | 46.03 |
| Pietro Tesi | 3 | 452 | 32.00 |