Details
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE 55th Conference on Decision and Control, CDC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 3210-3215 |
| Number of pages | 6 |
| ISBN (electronic) | 9781509018376 |
| Publication status | Published - 27 Dec 2016 |
| Externally published | Yes |
| Event | 55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States Duration: 12 Dec 2016 → 14 Dec 2016 |
Publication series
| Name | 2016 IEEE 55th Conference on Decision and Control, CDC 2016 |
|---|
Abstract
In this paper, we present two approaches for min-max economic model predictive control (MPC). The first is based on the standard approach for robust min-max stabilizing MPC which is well known from literature and transferred to the case of non-definite cost functions. The second is based on ideas from robust tube-based MPC. In contrast to an exact prediction of the error, invariant error sets are considered in the optimization. While this setup is in general more conservative, it can lead to optimization problems which are computationally more appealing. We provide a priori bounds on the asymptotic average performance for both approaches and discuss and compare them in detail.
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Decision Sciences(all)
- Decision Sciences (miscellaneous)
- Mathematics(all)
- Control and Optimization
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2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3210-3215 7798751 (2016 IEEE 55th Conference on Decision and Control, CDC 2016).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Min-max economic model predictive control approaches with guaranteed performance
AU - Bayer, Florian A.
AU - Muller, Matthias A.
AU - Allgower, Frank
N1 - Publisher Copyright: © 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - In this paper, we present two approaches for min-max economic model predictive control (MPC). The first is based on the standard approach for robust min-max stabilizing MPC which is well known from literature and transferred to the case of non-definite cost functions. The second is based on ideas from robust tube-based MPC. In contrast to an exact prediction of the error, invariant error sets are considered in the optimization. While this setup is in general more conservative, it can lead to optimization problems which are computationally more appealing. We provide a priori bounds on the asymptotic average performance for both approaches and discuss and compare them in detail.
AB - In this paper, we present two approaches for min-max economic model predictive control (MPC). The first is based on the standard approach for robust min-max stabilizing MPC which is well known from literature and transferred to the case of non-definite cost functions. The second is based on ideas from robust tube-based MPC. In contrast to an exact prediction of the error, invariant error sets are considered in the optimization. While this setup is in general more conservative, it can lead to optimization problems which are computationally more appealing. We provide a priori bounds on the asymptotic average performance for both approaches and discuss and compare them in detail.
UR - http://www.scopus.com/inward/record.url?scp=85010756231&partnerID=8YFLogxK
U2 - 10.1109/cdc.2016.7798751
DO - 10.1109/cdc.2016.7798751
M3 - Conference contribution
AN - SCOPUS:85010756231
T3 - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
SP - 3210
EP - 3215
BT - 2016 IEEE 55th Conference on Decision and Control, CDC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 55th IEEE Conference on Decision and Control, CDC 2016
Y2 - 12 December 2016 through 14 December 2016
ER -