Details
| Original language | English |
|---|---|
| Pages (from-to) | 226-231 |
| Number of pages | 6 |
| Journal | IFAC-PapersOnLine |
| Volume | 54 |
| Issue number | 6 |
| Early online date | 9 Sept 0021 |
| Publication status | Published - 2021 |
Abstract
In this paper, we propose a suboptimal moving horizon estimator for nonlinear systems. For the stability analysis we transfer the “feasibility-implies-stability/robustness” paradigm from model predictive control to the context of moving horizon estimation in the following sense: Using a suitably defined, feasible candidate solution based on the trajectory of an auxiliary observer, robust stability of the proposed suboptimal estimator is inherited independently of the horizon length and even if no optimization is performed.
Keywords
- Nonlinear moving horizon estimation, Nonlinear state estimation, Suboptimal MHE
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
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In: IFAC-PapersOnLine, Vol. 54, No. 6, 2021, p. 226-231.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Robust Stability of Suboptimal Moving Horizon Estimation using an Observer-Based Candidate Solution
AU - Schiller, Julian D.
AU - Knüfer, Sven
AU - Müller, Matthias A.
PY - 2021
Y1 - 2021
N2 - In this paper, we propose a suboptimal moving horizon estimator for nonlinear systems. For the stability analysis we transfer the “feasibility-implies-stability/robustness” paradigm from model predictive control to the context of moving horizon estimation in the following sense: Using a suitably defined, feasible candidate solution based on the trajectory of an auxiliary observer, robust stability of the proposed suboptimal estimator is inherited independently of the horizon length and even if no optimization is performed.
AB - In this paper, we propose a suboptimal moving horizon estimator for nonlinear systems. For the stability analysis we transfer the “feasibility-implies-stability/robustness” paradigm from model predictive control to the context of moving horizon estimation in the following sense: Using a suitably defined, feasible candidate solution based on the trajectory of an auxiliary observer, robust stability of the proposed suboptimal estimator is inherited independently of the horizon length and even if no optimization is performed.
KW - Nonlinear moving horizon estimation
KW - Nonlinear state estimation
KW - Suboptimal MHE
UR - http://www.scopus.com/inward/record.url?scp=85115678915&partnerID=8YFLogxK
U2 - 10.1016/j.ifacol.2021.08.549
DO - 10.1016/j.ifacol.2021.08.549
M3 - Conference article
VL - 54
SP - 226
EP - 231
JO - IFAC-PapersOnLine
JF - IFAC-PapersOnLine
SN - 2405-8963
IS - 6
ER -