Name
Abstract | ||
|---|---|---|
This paper proposes a state estimator for large-scale linear systems described by the interaction of state-coupled subsystems affected by bounded disturbances. We equip each subsystem with a Local State Estimator (LSE) for the reconstruction of the subsystem states using pieces of information from parent subsystems only. Moreover we provide conditions guaranteeing that the estimation errors are confined into prescribed polyhedral sets and converge to zero in absence of disturbances. Quite remarkably, the design of an LSE is recast into an optimization problem that requires data from the corresponding subsystem and its parents only. This allows one to synthesize LSEs in a Plug-and-Play (PnP) fashion, i.e. when a subsystem gets added, the update of the whole estimator requires at most the design of an LSE for the subsystem and its parents. Theoretical results are backed up by numerical experiments on a mechanical system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CDC.2013.6760656 | conference on decision and control |
Keywords | Field | DocType |
convergence,large-scale systems,linear systems,poles and zeros,set theory,stability,state estimation,LSE,bounded disturbances,convergence,estimation error,large-scale linear systems,mechanical system,optimization problem,plug-and-play distributed state estimation,polyhedral sets,state-coupled subsystem interaction,subsystem state reconstruction | Convergence (routing),Set theory,Mathematical optimization,Linear system,Pole–zero plot,Computer science,Control theory,Optimization problem,Mechanical system,Bounded function,Estimator | Journal |
Volume | ISSN | ISBN |
abs/1309.2002 | 0743-1546 | 978-1-4673-5714-2 |
Citations | PageRank | References |
3 | 0.49 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Riverso | 1 | 167 | 17.28 |
| Marcello Farina | 2 | 335 | 36.83 |
| Riccardo Scattolini | 3 | 390 | 75.71 |
| Giancarlo Ferrari-Trecate | 4 | 831 | 77.29 |