Name
Abstract | ||
|---|---|---|
Novel nonlinear predictors are studied for nonlinear systems with delayed measurements without assuming globally Lipschitz conditions or a known predictor map but requiring instead bounded state trajectories. The delay is constant and known. These nonlinear predictors consists of a series of dynamic filters that generate estimates of the state vector (and its maximum magnitude) at different delayed time instants which differ from one another by a small fraction of the overall delay. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.automatica.2015.06.007 | Automatica |
Keywords | Field | DocType |
Nonlinear systems,Delayed measurements,State prediction | State vector,Mathematical optimization,State prediction,Nonlinear system,Control theory,Delayed time,Lipschitz continuity,Mathematics,Maximum magnitude,Bounded function | Journal |
Volume | Issue | ISSN |
59 | C | 0005-1098 |
Citations | PageRank | References |
1 | 0.36 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Battilotti | 1 | 136 | 42.34 |