Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Maximilian Mühlegg"'
Publikováno v:
ACC
We present a new algorithm for GP regression over data with non-Gaussian likelihood that does not require costly MCMC sampling, or variational Bayes optimization. In our method, which we term Meta-GP, we model the likelihood by another Gaussian Proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43fc5bb547676242856221f1ba206e41
https://doi.org/10.23919/acc.2017.7963429
https://doi.org/10.23919/acc.2017.7963429
Publikováno v:
International Journal of Control. 87:1583-1603
In model reference adaptive control (MRAC) the modelling uncertainty is often assumed to be parameterised with time-invariant unknown ideal parameters. The convergence of parameters of the adaptive element to these ideal parameters is beneficial, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2d261424f0619979750a6c3613b4868
https://doi.org/10.1080/00207179.2014.880128
https://doi.org/10.1080/00207179.2014.880128
Publikováno v:
ICARCV
Model Reference Adaptive Control facilitates nonlinear systems to adapt to modeling errors, environmental changes or structural damage. Most adaptive control frameworks employ Lyapunov analysis in order to establish stability of the closed loop syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2ccb2c02fc44d230bacf65ec5df0872
https://doi.org/10.1109/icarcv.2016.7838852
https://doi.org/10.1109/icarcv.2016.7838852
Publikováno v:
MED
Certification of adaptive control algorithms for use on aerospace applications has not yet been accomplished in the aerospace industry. According to an emerging consensus between various authors, online monitoring and health assessment will play an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0add7006fadb21bfd96b7bdd75ae1098
https://doi.org/10.1109/med.2016.7535993
https://doi.org/10.1109/med.2016.7535993
Publikováno v:
ACC
A method based on Bayesian linear regression for output monitoring of an adaptive controller is presented. As a basis, a feedback linearized system is augmented by a Model Reference Adaptive Controller. The application of Bayesian linear regression w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f90e1f4209139a8e2910167e9080931
https://doi.org/10.1109/acc.2015.7170731
https://doi.org/10.1109/acc.2015.7170731
Publikováno v:
2014 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology.
A hybrid adaptive-optimal control architecture is presented, which is suitable for implementation on systems with fast, nonlinear and uncertain dynamics subject to constraints. Approximate dynamic inversion transforms the nonlinear system into an equ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ebb6e413c4d30d9ab31d3134f17ede3
https://doi.org/10.1109/icares.2014.7024377
https://doi.org/10.1109/icares.2014.7024377
Publikováno v:
Scopus-Elsevier
This paper evaluates the robust performance of Model Reference Adaptive Control (MRAC), which is applied to a short period model with pitch-break nonlinearity. The objective of the augmenting adaptive control law is to improve the performance in pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f275c2268af1e3d2686ec7f6fe654e26
https://doi.org/10.2514/6.2013-4512
https://doi.org/10.2514/6.2013-4512
Publikováno v:
Scopus-Elsevier
Optimal control of autonomous aircraft with modeling uncertainties is a challenging problem, especially when onboard computational resources are limited, and in presence of modeling uncertainty. A concurrent learning based adaptive-optimal control ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d9eec86e9614e01842e5fa56f6a71b8
https://doi.org/10.2514/6.2013-4932
https://doi.org/10.2514/6.2013-4932
Autor:
Maximilian Mühlegg, Chen Zhu, S. Nowak, Stephan Sand, Guillermo P. Falconi, T. Kruger, Siwei Zhang
Publikováno v:
ICL-GNSS
We propose autonomous robotic swarm exploration to search for extra-terrestrial life in the Valles Marineris canyon system on Mars. The swarm consists of unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs). Key technologies are robust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa28049cb1cc8629d41fe3a7e43d8144
https://doi.org/10.1109/icl-gnss.2013.6577272
https://doi.org/10.1109/icl-gnss.2013.6577272
Publikováno v:
Advances in Aerospace Guidance, Navigation and Control ISBN: 9783642382529
A concurrent learning adaptive-optimal control architecture for aerospace systems with fast dynamics is presented. Exponential convergence properties of concurrent learning adaptive controllers are leveraged to guarantee a verifiable learning rate wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f864d1d16eea33657fa01c83954b7ea
https://doi.org/10.1007/978-3-642-38253-6_3
https://doi.org/10.1007/978-3-642-38253-6_3
