Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 99-106 |
| Seitenumfang | 8 |
| Fachzeitschrift | IFAC-PapersOnLine |
| Jahrgang | 58 |
| Ausgabenummer | 18 |
| Frühes Online-Datum | 25 Sept. 2024 |
| Publikationsstatus | Elektronisch veröffentlicht (E-Pub) - 25 Sept. 2024 |
| Veranstaltung | 8th IFAC Conference on Nonlinear Model Predictive Control, NMPC 2024 - Kyoto, Japan Dauer: 21 Aug. 2024 → 24 Aug. 2024 |
Abstract
We develop a distributed economic model predictive control (MPC) scheme with generalized terminal constraints and self-tuning terminal weights for multi-agent systems. We state conditions on the terminal weights' adaption such that an average performance bound holds for the closed-loop system. In addition, we discuss an update law for the terminal weights for which the best reachable equilibria need not be computed in each time step, but which depends only on suboptimal reachable equilibria, e.g. obtained by performing a few steps of a distributed optimization algorithm in each time step.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
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in: IFAC-PapersOnLine, Jahrgang 58, Nr. 18, 2025, S. 99-106.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Distributed Economic MPC with Adaptive Terminal Weights
AU - Köhler, Matthias
AU - Müller, Matthias A.
AU - Allgöwer, Frank
N1 - Publisher Copyright: Copyright © 2024 The Authors.
PY - 2024/9/25
Y1 - 2024/9/25
N2 - We develop a distributed economic model predictive control (MPC) scheme with generalized terminal constraints and self-tuning terminal weights for multi-agent systems. We state conditions on the terminal weights' adaption such that an average performance bound holds for the closed-loop system. In addition, we discuss an update law for the terminal weights for which the best reachable equilibria need not be computed in each time step, but which depends only on suboptimal reachable equilibria, e.g. obtained by performing a few steps of a distributed optimization algorithm in each time step.
AB - We develop a distributed economic model predictive control (MPC) scheme with generalized terminal constraints and self-tuning terminal weights for multi-agent systems. We state conditions on the terminal weights' adaption such that an average performance bound holds for the closed-loop system. In addition, we discuss an update law for the terminal weights for which the best reachable equilibria need not be computed in each time step, but which depends only on suboptimal reachable equilibria, e.g. obtained by performing a few steps of a distributed optimization algorithm in each time step.
KW - distributed MPC
KW - economic MPC
KW - multi-agent systems
KW - nonlinear systems
KW - Predictive control
UR - http://www.scopus.com/inward/record.url?scp=85206108950&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2024.09.016
DO - 10.1016/j.ifacol.2024.09.016
M3 - Conference article
AN - SCOPUS:85206108950
VL - 58
SP - 99
EP - 106
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8971
IS - 18
T2 - 8th IFAC Conference on Nonlinear Model Predictive Control, NMPC 2024
Y2 - 21 August 2024 through 24 August 2024
ER -