Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Dietrich Brunn"'
Publikováno v:
IFAC Proceedings Volumes. 41:8009-8014
An efficient approach for solving stochastic optimal control problems is to employ dynamic programming (DP). For continuous-valued nonlinear systems, the corresponding DP recursion generally cannot be solved in closed form. Thus, a typical approach i
Publikováno v:
tm - Technisches Messen. 74:147-156
Dieser Beitrag befasst sich mit modellbasierten Methoden zur Vermessung verteilter physikalischer Phänomene. Diese Methoden zeichnen sich durch eine systematische Behandlung von Unsicherheiten aus, sodass neben der Rekonstruktion der vollständigen
Publikováno v:
ACC
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 mixture approximation of the conditional density, which al
Publikováno v:
CDC
Efficiently implementing nonlinear Bayesian estimators is still an unsolved problem, especially for the multidimensional case. A trade-off between estimation quality and demand on computational resources has to be found. Using multidimensional Fourie
Publikováno v:
IEEE International Symposium on Intelligent Control.
This paper addresses the challenges of the fusion of two random vectors with imprecisely known stochastic dependency. This problem mainly occurs in decentralized estimation, e.g. of a distributed phenomenon, where the stochastic dependencies between
Publikováno v:
MFI
This paper proposes a systematic procedure for approximating arbitrary probability density functions by means of Dirac mixtures. For that purpose, a distance measure is required, which is in general not well defined for Dirac mixture densities. Hence
Publikováno v:
MFI 2006
MFI
2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
MFI
2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
In this paper, an approach to the finite-horizon optimal state-feedback control problem of nonlinear, stochastic, discrete-time systems is presented. Starting from the dynamic programming equation, the value function will be approximated by means of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79c8bcc4904c863edd6150defb47a2ff
http://hdl.handle.net/10044/1/12222
http://hdl.handle.net/10044/1/12222
Autor:
Dietrich Brunn, Uwe D. Hanebeck
Publikováno v:
ICRA
Calibration is the procedure of quantifying mechanical deficiencies of machines and compensating them by appropriate adjustment. This paper introduces a model-based measurement framework for improving calibration procedures of machine tools. The goal
Publikováno v:
MFI
Recursive prediction of the state of a nonlinear stochastic dynamic system cannot be efficiently performed in general, since the complexity of the probability density function characterizing the system state increases with every prediction step. Thus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9690cbc1f60e15b90a266cd43d05d9b
https://publikationen.bibliothek.kit.edu/1000013962
https://publikationen.bibliothek.kit.edu/1000013962
Publikováno v:
FUSION
Recursive calculation of the probability density function characterizing the state estimate of a nonlinear stochastic dynamic system in general cannot be performed exactly, since the type of the density changes with every processing step and the comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb61edd21ad6f9088f53202328389225