Name
Abstract | ||
|---|---|---|
We consider identification of externally positive linear discrete-time systems from input/output data. The proposed method is formulated as a semidefinite program, and is guaranteed to identify models that are ellipsoidal cone-invariant and, consequently, externally positive. We demonstrate empirically that this cone-invariance approach can significantly reduce the conservatism associated with methods that enforce internal positivity as a sufficient condition for external positivity. |
Year | Venue | Field |
|---|---|---|
2017 | 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | Mathematical optimization,Ellipsoid,Linear system,Computer science,Control theory,Matrix decomposition,Conservatism,Positive systems |
DocType | ISSN | Citations |
Conference | 0743-1546 | 1 |
PageRank | References | Authors |
0.36 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Grussler | 1 | 19 | 3.53 |
| Jack Umenberger | 2 | 9 | 4.90 |
| Ian R. Manchester | 3 | 361 | 35.92 |