#### Filter Results:

- Full text PDF available (4)

#### Publication Year

2001

2010

- This year (0)
- Last 5 years (0)
- Last 10 years (1)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

- O.C. Schrempf, D. E. Brunn, U. D. Hanebeck
- Proceedings of the 45th IEEE Conference onâ€¦
- 2006

A deterministic procedure for optimal approximation of arbitrary probability density functions by means of Dirac mixtures with equal weights is proposed. The optimality of this approximation isâ€¦ (More)

- K. Roberts, U. D. Hanebeck
- 2005 7th International Conference on Informationâ€¦
- 2005

A primary challenge for the reconstruction of continuous-time, continuous-amplitude distributed parameter systems is the inclusion of recent discrete-time, discrete-amplitude, spatially discreteâ€¦ (More)

- Florian Weissel, M.F. Huber, U. D. Hanebeck
- 2007 American Control Conference
- 2007

Model identification and measurement acquisition is always to some degree uncertain. Therefore, a framework for nonlinear model predictive control (NMPC) is proposed that explicitly considers theâ€¦ (More)

- Jianbo Su, Yugeng Xi, U. D. Hanebeck, G. Schmidt
- IEEE Transactions on Systems, Man, andâ€¦
- 2004

A new control scheme for the uncalibrated robotic visual tracking problem is proposed that compromises the computational expenses of overall system with offline modeling and online control. Aâ€¦ (More)

- Hannes U. Eberhardt, Vesa Klumpp, U. D. Hanebeck
- Proceedings of the 2010 American Controlâ€¦
- 2010

The sample-based recursive prediction of discrete-time nonlinear stochastic dynamic systems requires a regular reapproximation of the Dirac mixture densities characterizing the state estimate with anâ€¦ (More)

- M.F. Huber, D. E. Brunn, U. D. Hanebeck
- 2007 American Control Conference
- 2007

Filtering or measurement updating for nonlinear stochastic dynamic systems requires approximate calculations, since an exact solution is impossible to obtain in general. We propose a Gaussian mixtureâ€¦ (More)

- U. D. Hanebeck
- 2001 European Control Conference (ECC)
- 2001

This paper presents a modified set theoretic framework for estimating the state of a linear dynamic system based on uncertain measurements. The measurement errors are assumed to be unknown butâ€¦ (More)

- U. D. Hanebeck, J. Horn
- 2003 European Control Conference (ECC)
- 2003

This paper derives fundamental results for data validation in the presence of imprecisely known correlations. Given a constraint on the maximum absolute correlation of a given estimate andâ€¦ (More)

- D. E. Brunn, Felix Sawo, U. D. Hanebeck
- Proceedings of the 45th IEEE Conference onâ€¦
- 2006

Efficiently implementing nonlinear Bayesian estimators is still an unsolved problem, especially for the multidimensional case. A trade-off between estimation quality and demand on computationalâ€¦ (More)

- U. D. Hanebeck, J. Horn
- 2001 European Control Conference (ECC)
- 2001

New filters are derived for estimating the n-dimensional state of a linear dynamic system based on uncertain m-dimensional observations, which suffer from two types of uncertainties simultaneously.â€¦ (More)