Abstract:
We compare the performance of the extended Kalman filter, the unscented Kalman filter, and two extensions of the Hinfin filter when applied to discrete-time nonlinear sta...Show MoreMetadata
Abstract:
We compare the performance of the extended Kalman filter, the unscented Kalman filter, and two extensions of the Hinfin filter when applied to discrete-time nonlinear state estimation problems with nondifferentiable dynamics. We compare the performance of all the estimation techniques on simple nonlinear examples and finally consider state estimation of one-dimensional hydrodynamic flow based on a finite volume model that contains nondifferentiable nonlinearities.
Published in: 2007 American Control Conference
Date of Conference: 09-13 July 2007
Date Added to IEEE Xplore: 30 July 2007
ISBN Information: