Details
| Original language | English |
|---|---|
| Title of host publication | 2013 European Control Conference, ECC 2013 |
| Publisher | IEEE Computer Society |
| Pages | 2044-2049 |
| Number of pages | 6 |
| ISBN (print) | 9783033039629 |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 European Control Conference (ECC) - Zurich, Switzerland Duration: 17 Jul 2013 → 19 Jul 2013 |
Publication series
| Name | 2013 European Control Conference, ECC 2013 |
|---|
Abstract
In this paper, we propose an economic model predictive control (MPC) framework with a self-tuning terminal weight, which builds on a recently proposed MPC algorithm with a generalized terminal state constraint. First, given a general time-varying terminal weight, we derive an upper bound on the closed-loop average performance which depends on the limit value of the predicted terminal state. After that, we derive conditions for a self-tuning terminal weight such that bounds for this limit value can be obtained. Finally, we propose several update rules for the self-tuning terminal weight and analyze their respective properties. We illustrate our findings with several examples.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
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2013 European Control Conference, ECC 2013. IEEE Computer Society, 2013. p. 2044-2049 6669271 (2013 European Control Conference, ECC 2013).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Economic model predictive control with self-tuning terminal weight
AU - Müller, Matthias A.
AU - Angeli, David
AU - Allgöwer, Frank
N1 - Funding Information: The work of the first and third authors was supported by the German Research Foundation (DFG) within the Priority Programme 1305 “ Control Theory of Digitally Networked Dynamical Systems ” and within the Cluster of Excellence in Simulation Technology (EXC 310/1 ) at the University of Stuttgart.
PY - 2013
Y1 - 2013
N2 - In this paper, we propose an economic model predictive control (MPC) framework with a self-tuning terminal weight, which builds on a recently proposed MPC algorithm with a generalized terminal state constraint. First, given a general time-varying terminal weight, we derive an upper bound on the closed-loop average performance which depends on the limit value of the predicted terminal state. After that, we derive conditions for a self-tuning terminal weight such that bounds for this limit value can be obtained. Finally, we propose several update rules for the self-tuning terminal weight and analyze their respective properties. We illustrate our findings with several examples.
AB - In this paper, we propose an economic model predictive control (MPC) framework with a self-tuning terminal weight, which builds on a recently proposed MPC algorithm with a generalized terminal state constraint. First, given a general time-varying terminal weight, we derive an upper bound on the closed-loop average performance which depends on the limit value of the predicted terminal state. After that, we derive conditions for a self-tuning terminal weight such that bounds for this limit value can be obtained. Finally, we propose several update rules for the self-tuning terminal weight and analyze their respective properties. We illustrate our findings with several examples.
UR - http://www.scopus.com/inward/record.url?scp=84893258042&partnerID=8YFLogxK
U2 - 10.23919/ecc.2013.6669271
DO - 10.23919/ecc.2013.6669271
M3 - Conference contribution
AN - SCOPUS:84893258042
SN - 9783033039629
T3 - 2013 European Control Conference, ECC 2013
SP - 2044
EP - 2049
BT - 2013 European Control Conference, ECC 2013
PB - IEEE Computer Society
T2 - 2013 European Control Conference (ECC)
Y2 - 17 July 2013 through 19 July 2013
ER -