Details
| Original language | English |
|---|---|
| Title of host publication | 2016 American Control Conference, ACC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 883-888 |
| 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 paper, we propose a new moving horizon estimator for nonlinear detectable systems. Similar to a recently proposed full information estimator, the corresponding cost function contains an additional max-term compared to more standard least-squares type approaches. We show that robust global asymptotic stability in case of bounded disturbances and convergence of the estimation error in case of vanishing disturbances can be established. An additional advantage of the proposed scheme is that a suitable prior weighting appearing in the cost function can explicitly be determined offline, which is not the case in various existing approaches.
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. 883-888 7525026 (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 - Nonlinear moving horizon estimation for systems with bounded disturbances
AU - Müller, Matthias A.
N1 - Publisher Copyright: © 2016 American Automatic Control Council (AACC).
PY - 2016/7/28
Y1 - 2016/7/28
N2 - In this paper, we propose a new moving horizon estimator for nonlinear detectable systems. Similar to a recently proposed full information estimator, the corresponding cost function contains an additional max-term compared to more standard least-squares type approaches. We show that robust global asymptotic stability in case of bounded disturbances and convergence of the estimation error in case of vanishing disturbances can be established. An additional advantage of the proposed scheme is that a suitable prior weighting appearing in the cost function can explicitly be determined offline, which is not the case in various existing approaches.
AB - In this paper, we propose a new moving horizon estimator for nonlinear detectable systems. Similar to a recently proposed full information estimator, the corresponding cost function contains an additional max-term compared to more standard least-squares type approaches. We show that robust global asymptotic stability in case of bounded disturbances and convergence of the estimation error in case of vanishing disturbances can be established. An additional advantage of the proposed scheme is that a suitable prior weighting appearing in the cost function can explicitly be determined offline, which is not the case in various existing approaches.
UR - http://www.scopus.com/inward/record.url?scp=84992045327&partnerID=8YFLogxK
U2 - 10.1109/acc.2016.7525026
DO - 10.1109/acc.2016.7525026
M3 - Conference contribution
AN - SCOPUS:84992045327
T3 - Proceedings of the American Control Conference
SP - 883
EP - 888
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 -