Name
Abstract | ||
|---|---|---|
The notion of quadratic boundedness, which allows one to address the stability of a dynamic system in the presence of bounded disturbances, is applied to the design of state estimators for discrete-time linear systems with polytopic uncertainties. Necessary and sufficient stability conditions are stated and upper bounding sequences on the estimation error are derived. For the purpose of design, such conditions can be expressed in terms of linear matrix inequalities (LMIs), thus guaranteeing the numerical tractability. Simulation results are reported to show the effectiveness of the approach. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.automatica.2005.10.013 | Automatica |
Keywords | Field | DocType |
State estimation,Robust filtering,Uncertain linear systems,Linear matrix inequalities,Set invariance | Mathematical optimization,Linear system,Matrix (mathematics),Control theory,Quadratic equation,Stability conditions,Robust filtering,Mathematics,Bounded function,Bounding overwatch,Estimator | Journal |
Volume | Issue | ISSN |
42 | 3 | 0005-1098 |
Citations | PageRank | References |
29 | 1.06 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Alessandri | 1 | 323 | 30.46 |
| Marco Baglietto | 2 | 215 | 16.91 |
| Giorgio Battistelli | 3 | 623 | 46.03 |