Zobrazeno 1 - 10
of 18
pro vyhledávání: '"F. Weissel"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b72e5c60e4e4f5ed8231cfa5ff355e6
https://doi.org/10.3182/20080706-5-kr-1001.01352
https://doi.org/10.3182/20080706-5-kr-1001.01352
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783540856399
In this paper, a framework for stochastic Nonlinear Model Predictive Control (NMPC) that explicitly incorporates the noise influence on systems with continuous state spaces is introduced. By the incorporation of noise, which results from uncertaintie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::908e3fddac13b0be049842f16ba3d501
https://doi.org/10.1007/978-3-540-85640-5_18
https://doi.org/10.1007/978-3-540-85640-5_18
Publikováno v:
MFI
In many technical systems, the system state, which is to be controlled, is not directly accessible, but has to be estimated from observations. Furthermore, the uncertainties arising from this procedure are typically neglected in the controller. To re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c6e12d5513564700c035042777f692d
Publikováno v:
ECC 2007
2007 European Control Conference (ECC)
2007 European Control Conference (ECC)
© 2007 EUCA.A novel online-computation approach to optimal control of nonlinear, noise-affected systems with continuous state and control spaces is presented. In the proposed algorithm, system noise is explicitly incorporated into the control decisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29c2971c85fb43d84332b48574508fa9
https://publikationen.bibliothek.kit.edu/1000034832
https://publikationen.bibliothek.kit.edu/1000034832
Publikováno v:
CDC
In this paper, a framework for Nonlinear Model Predictive Control (NMPC) for heavily noise-affected systems is presented. Within this framework, the noise influence, which originates from uncertainties during model identification or measurement, is e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4257739619251d11da2260789f06e75b
https://publikationen.bibliothek.kit.edu/1000034825
https://publikationen.bibliothek.kit.edu/1000034825
Publikováno v:
IROS
For the collaborative control of a team of robots, a set of well-suited high-level control algorithms, especially for path planning and measurement scheduling, is essential. The quality of these control algorithms can be significantly increased by co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bef83dea55581fd00a00b4f01439863
Publikováno v:
ACC
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 the noise influence on nonlinear dynamic systems with cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d8ffaea30a0154b4691ffb0fed81c0c
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
Publikováno v:
18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..
Summary form only given. Xilinx Virtex FPGAs have the possibility of dynamical partial run-time reconfiguration. If a system uses this feature with many different configuration bitstreams for substitution of parts in reconfiguration memory, the amoun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae54732250f754bc8495273b172eaac8
https://doi.org/10.1109/ipdps.2004.1303113
https://doi.org/10.1109/ipdps.2004.1303113
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