Name
Title | ||
|---|---|---|
Plug-and-play state estimation and application to distributed output-feedback model predictive control |
Abstract | ||
|---|---|---|
In this paper we propose a novel distributed state estimator for large-scale linear systems composed by subsystems interacting through state variables. The distributed state estimator has the following features: (i) local state estimators, each dedicated to the reconstruction of the states of a subsystem, are connected through a communication network with the parent–child topology induced by subsystems coupling; (ii) the design of a local state estimator requires information on the associated subsystem and its parents only. As a consequence, both the offline design and the online implementation are distributed and scalable. In particular, the addition and removal of subsystems can be handled in a plug-and-play fashion. The distributed state estimator is also combined with a plug-and-play distributed model predictive control scheme to provide a novel output-feedback plug-and-play distributed controller capable of guaranteeing nominal convergence and constraint satisfaction. Applications to a mechanical system and power networks demonstrate the effectiveness of the approach. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ejcon.2015.04.001 | European Journal of Control |
Keywords | Field | DocType |
Distributed state estimation,Plug-and-play,Model predictive control,Output feedback control | Convergence (routing),Constraint satisfaction,Control theory,Linear system,Computer science,Control theory,Model predictive control,Control engineering,State variable,Scalability,Estimator | Journal |
Volume | ISSN | Citations |
25 | 0947-3580 | 5 |
PageRank | References | Authors |
0.53 | 22 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Stefano Riverso | 1 | 167 | 17.28 |
| Marcello Farina | 2 | 335 | 36.83 |
| Giancarlo Ferrari-Trecate | 3 | 831 | 77.29 |