Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | 19th IFAC World Congress IFAC 2014, Proceedings |
| Herausgeber/-innen | Edward Boje, Xiaohua Xia |
| Herausgeber (Verlag) | IFAC Secretariat |
| Seiten | 1029-1034 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9783902823625 |
| Publikationsstatus | Veröffentlicht - 2014 |
| Extern publiziert | Ja |
| Veranstaltung | 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014 - Cape Town, Südafrika Dauer: 24 Aug. 2014 → 29 Aug. 2014 |
Publikationsreihe
| Name | IFAC Proceedings Volumes (IFAC-PapersOnline) |
|---|---|
| Band | 19 |
| ISSN (Print) | 1474-6670 |
Abstract
In this paper, we propose a distributed economic MPC algorithm for cooperative control of several self-interested interacting dynamical systems. Each system considers its own, local, performance criterion, and coordination between the systems is enforced via coupling constraints. The proposed control strategy consists of a distributed optimization algorithm, used to determine an overall optimal steady-state, whose current iterates at each time are then used by each system to compute a control input in an economic MPC framework. We analyze the properties of the proposed algorithm and prove convergence results for the resulting overall closed-loop system. Furthermore, we apply our results to the problem of synchonizing several agents with conflicting objective.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
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19th IFAC World Congress IFAC 2014, Proceedings. Hrsg. / Edward Boje; Xiaohua Xia. IFAC Secretariat, 2014. S. 1029-1034 (IFAC Proceedings Volumes (IFAC-PapersOnline); Band 19).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Distributed economic MPC
T2 - 19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
AU - Müller, Matthias A.
AU - Allgöwer, Frank
N1 - Publisher Copyright: © IFAC.
PY - 2014
Y1 - 2014
N2 - In this paper, we propose a distributed economic MPC algorithm for cooperative control of several self-interested interacting dynamical systems. Each system considers its own, local, performance criterion, and coordination between the systems is enforced via coupling constraints. The proposed control strategy consists of a distributed optimization algorithm, used to determine an overall optimal steady-state, whose current iterates at each time are then used by each system to compute a control input in an economic MPC framework. We analyze the properties of the proposed algorithm and prove convergence results for the resulting overall closed-loop system. Furthermore, we apply our results to the problem of synchonizing several agents with conflicting objective.
AB - In this paper, we propose a distributed economic MPC algorithm for cooperative control of several self-interested interacting dynamical systems. Each system considers its own, local, performance criterion, and coordination between the systems is enforced via coupling constraints. The proposed control strategy consists of a distributed optimization algorithm, used to determine an overall optimal steady-state, whose current iterates at each time are then used by each system to compute a control input in an economic MPC framework. We analyze the properties of the proposed algorithm and prove convergence results for the resulting overall closed-loop system. Furthermore, we apply our results to the problem of synchonizing several agents with conflicting objective.
KW - Cooperative control
KW - Distributed MPC
KW - Economic MPC
UR - http://www.scopus.com/inward/record.url?scp=84929729361&partnerID=8YFLogxK
U2 - 10.3182/20140824-6-za-1003.01177
DO - 10.3182/20140824-6-za-1003.01177
M3 - Conference contribution
AN - SCOPUS:84929729361
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 1029
EP - 1034
BT - 19th IFAC World Congress IFAC 2014, Proceedings
A2 - Boje, Edward
A2 - Xia, Xiaohua
PB - IFAC Secretariat
Y2 - 24 August 2014 through 29 August 2014
ER -