In this section
@inproceedings{Abraham:2013:10.1109/CDC.2013.6760785,
author = {Abraham, E and Kerrigan, EC},
doi = {10.1109/CDC.2013.6760785},
pages = {5686--5691},
title = {Estimator design for input-constrained bilinear systems with application to wave energy conversion},
url = {http://dx.doi.org/10.1109/CDC.2013.6760785},
year = {2013}
}
TY - CPAPER
AB - This paper investigates low-order observer design for bilinear systems with input constraints. A bilinear Luenberger-type observer with an H-infinity performance measure is formulated and the resulting synthesis problem is posed as a matrix inequality optimization for a linear parameter varying system. The resulting (nonconvex) bilinear matrix inequality problem is then solved with an LMI-based algorithm to find low-order nominal and robust quadratically stable observers. The performance of these observers are compared with that of a Kalman filter. In addition to alleviating the need to know the noise spectrum and its lower real-time computational burden, the H-infinity filter is shown to be robust to model uncertainties. The online radiation force estimation problem for a wave energy converter with bilinear dynamics is considered as an example.
AU - Abraham,E
AU - Kerrigan,EC
DO - 10.1109/CDC.2013.6760785
EP - 5691
PY - 2013///
SN - 0743-1546
SP - 5686
TI - Estimator design for input-constrained bilinear systems with application to wave energy conversion
UR - http://dx.doi.org/10.1109/CDC.2013.6760785
ER -