Abstract | ||
---|---|---|
A distributed model predictive control strategy is proposed for subsystems sharing a limited resource. Self-organized Time Division Multiple Access is used to coordinate subsystem controllers in a sequence such that no two re-optimize simultaneously. This new approach requires no central coordination or pre-organized optimizing sequence. The scheme guarantees satisfaction of coupled constraints despite dynamic entry and exit of subsystems. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.automatica.2018.03.050 | Automatica |
Keywords | Field | DocType |
Distributed model predictive control,Constrained systems,Scalable DMPC | Mathematical optimization,Model predictive control,Time division multiple access,Distributed model predictive control,Scalable distributed,Mathematics | Journal |
Volume | Issue | ISSN |
93 | 1 | 0005-1098 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Elham (Fatemeh) Asadi | 1 | 0 | 0.34 |
Arthur Richards | 2 | 268 | 26.94 |