Details
| Original language | English |
|---|---|
| Pages (from-to) | 1366-1378 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Control Systems Technology |
| Volume | 31 |
| Issue number | 3 |
| Publication status | Published - 2 Jan 2023 |
Abstract
Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.
Keywords
- Absorption, Biomedical applications, Estimation, extended Kalman filtering, Laser beams, Measurement by laser beam, moving horizon estimation, Power lasers, Retina, state and parameter estimation, Temperature measurement, state and parameter
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
- Engineering(all)
- Control and Systems Engineering
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In: IEEE Transactions on Control Systems Technology, Vol. 31, No. 3, 02.01.2023, p. 1366-1378.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - State and Parameter Estimation for Retinal Laser Treatment
AU - Kleyman, Viktoria
AU - Schaller, Manuel
AU - Mordmuller, Mario
AU - Wilson, Mitsuru
AU - Brinkmann, Ralf
AU - Worthmann, Karl
AU - Muller, Matthias A.
PY - 2023/1/2
Y1 - 2023/1/2
N2 - Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.
AB - Adequate therapeutic retinal laser irradiation needs to be adapted to local absorption. This leads to time-consuming treatments as the laser power needs to be successively adjusted to avoid undertreatment and overtreatment caused by too low or too high temperatures. Closed-loop control can overcome this burden by means of temperature measurements. To allow for model predictive control schemes, the current state and the spot-dependent absorption need to be estimated. In this article, we thoroughly compare moving horizon estimator (MHE) and extended Kalman filter (EKF) designs for joint state and parameter estimation. We consider two different scenarios, the estimation of one or two unknown absorption coefficients. For one unknown parameter, both estimators perform very similarly. For two unknown parameters, we found that the MHE benefits from active parameter constraints at the beginning of the estimation, whereas after a settling time, both estimators perform again very similarly as long as the parameters are inside the considered parameter bounds.
KW - Absorption
KW - Biomedical applications
KW - Estimation
KW - extended Kalman filtering
KW - Laser beams
KW - Measurement by laser beam
KW - moving horizon estimation
KW - Power lasers
KW - Retina
KW - state and parameter estimation
KW - Temperature measurement
KW - state and parameter
UR - http://www.scopus.com/inward/record.url?scp=85147221102&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2203.12452
DO - 10.48550/arXiv.2203.12452
M3 - Article
AN - SCOPUS:85147221102
VL - 31
SP - 1366
EP - 1378
JO - IEEE Transactions on Control Systems Technology
JF - IEEE Transactions on Control Systems Technology
SN - 1063-6536
IS - 3
ER -