Details
| Original language | English |
|---|---|
| Title of host publication | 2016 American Control Conference, ACC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 889-894 |
| Number of pages | 6 |
| ISBN (electronic) | 9781467386821 |
| Publication status | Published - 28 Jul 2016 |
| Externally published | Yes |
| Event | 2016 American Control Conference, ACC 2016 - Boston, United States Duration: 6 Jul 2016 → 8 Jul 2016 |
Publication series
| Name | Proceedings of the American Control Conference |
|---|---|
| Volume | 2016-July |
| ISSN (Print) | 0743-1619 |
Abstract
In this work, we propose a distributed economic MPC framework for cooperative control of self-interested interacting dynamical systems. The self-interest of the systems is reflected by an individual local cost function each agent is trying to minimize, while cooperation is enforced by means of coupling constraints. We show that satisfaction of both transient and asymptotic coupling constraints as well as closed-loop convergence to the overall optimal steady-state can be established. A specific feature of the proposed control scheme is that the overall optimal steady-state needs not be known a priori, but can be determined online via distributed optimization. We illustrate our results with the problem of reaching consensus under conflicting objectives.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 889-894 7525027 (Proceedings of the American Control Conference; Vol. 2016-July).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A distributed economic MPC scheme for coordination of self-interested systems
AU - Köhler, Philipp N.
AU - Müller, Matthias A.
AU - Allgöwer, Frank
N1 - Publisher Copyright: © 2016 American Automatic Control Council (AACC).
PY - 2016/7/28
Y1 - 2016/7/28
N2 - In this work, we propose a distributed economic MPC framework for cooperative control of self-interested interacting dynamical systems. The self-interest of the systems is reflected by an individual local cost function each agent is trying to minimize, while cooperation is enforced by means of coupling constraints. We show that satisfaction of both transient and asymptotic coupling constraints as well as closed-loop convergence to the overall optimal steady-state can be established. A specific feature of the proposed control scheme is that the overall optimal steady-state needs not be known a priori, but can be determined online via distributed optimization. We illustrate our results with the problem of reaching consensus under conflicting objectives.
AB - In this work, we propose a distributed economic MPC framework for cooperative control of self-interested interacting dynamical systems. The self-interest of the systems is reflected by an individual local cost function each agent is trying to minimize, while cooperation is enforced by means of coupling constraints. We show that satisfaction of both transient and asymptotic coupling constraints as well as closed-loop convergence to the overall optimal steady-state can be established. A specific feature of the proposed control scheme is that the overall optimal steady-state needs not be known a priori, but can be determined online via distributed optimization. We illustrate our results with the problem of reaching consensus under conflicting objectives.
UR - http://www.scopus.com/inward/record.url?scp=84992027422&partnerID=8YFLogxK
U2 - 10.1109/acc.2016.7525027
DO - 10.1109/acc.2016.7525027
M3 - Conference contribution
AN - SCOPUS:84992027422
T3 - Proceedings of the American Control Conference
SP - 889
EP - 894
BT - 2016 American Control Conference, ACC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 American Control Conference, ACC 2016
Y2 - 6 July 2016 through 8 July 2016
ER -