Name
Abstract | ||
|---|---|---|
This paper presents a Newton-like algorithm for solving systems of rank constrained linear matrix inequalities. Though local quadratic convergence of the algorithm is not a priori guaranteed or observed in all cases, numerical experiments, including application to an output feedback stabilization problem, show the effectiveness of the algorithm. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.automatica.2006.05.026 | Automatica |
Keywords | Field | DocType |
Linear matrix inequalities,Rank constraints,Computational methods,Output feedback,Stabilization,Robust control,Polynomial constraints | Rank (linear algebra),Linear equation,Mathematical optimization,Polynomial,Matrix (mathematics),Rate of convergence,Gaussian elimination,Mathematics,Newton's method,Constrained optimization | Journal |
Volume | Issue | ISSN |
42 | 11 | Automatica |
Citations | PageRank | References |
63 | 10.05 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Orsi | 1 | 113 | 15.23 |
| Uwe Helmke | 2 | 337 | 42.53 |
| JOHN B. MOORE | 3 | 412 | 84.61 |