Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Daniel Pachner"'
Publikováno v:
IFAC-PapersOnLine. 52:236-243
The aim of this paper is to demonstrate a new algorithm for Machine Learning (ML) based on Gaussian Process Regression (GPR) and how it can be used as a practical control design technique. An optimized control law for a nonlinear process is found dir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d2e367821d507666790bdf97908e3f6
https://doi.org/10.1016/j.ifacol.2019.09.147
https://doi.org/10.1016/j.ifacol.2019.09.147
Autor:
M. Herceg, Jaroslav Pekar, H. Wassén, Ondrej Santin, Daniel Pachner, Lukas Lansky, Johan Dahl
Publikováno v:
IFAC-PapersOnLine. 51:349-354
In this work we consider air path control of a Volvo Heavy Duty 13L Diesel engine equipped with three air path actuators Exhaust Gas Recirculation Valve (EGV), Intake Throttle Valve (ITV), turbocharger Wastegate (WG), and a Turbo Compound (TC). The p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f733f439e0025752e3145b14c5953df4
https://doi.org/10.1016/j.ifacol.2018.10.072
https://doi.org/10.1016/j.ifacol.2018.10.072
Publikováno v:
IFAC Proceedings Volumes. 46:564-569
A numerically robust approach to the mean value modeling of turbocharged internal combustion engines (ICE) is presented. The approach is based on model regularization on a polyhedron in a high dimensional vector space. Distributed programming techniq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32aa2780b2208d23adaed8235f731fba
https://doi.org/10.3182/20130904-4-jp-2042.00078
https://doi.org/10.3182/20130904-4-jp-2042.00078
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47d16cdf04058d533c2b64bfeeaf8188
https://doi.org/10.4271/2016-01-0096
https://doi.org/10.4271/2016-01-0096
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f08dc0898ce0f48e9e07b357a67edf08
https://doi.org/10.4271/2016-01-0611
https://doi.org/10.4271/2016-01-0611
Autor:
Daniel Pachner, Jaroslav Beran
Publikováno v:
SAE Technical Paper Series.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22a1974c29e617a45f93dca0701c3aa
https://doi.org/10.4271/2016-01-1064
https://doi.org/10.4271/2016-01-1064
Publikováno v:
IFAC Proceedings Volumes. 45:1599-1604
The article deals with the stability constraint in nonlinear continuous-time dynamic model identification. The identification is formulated as a boundary value problem. Constraining the norm of the terminal sensitivity to the initial condition is use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d3fa0ac9e30f365ad1d67c986148da9
https://doi.org/10.3182/20120711-3-be-2027.00315
https://doi.org/10.3182/20120711-3-be-2027.00315
Publikováno v:
IFAC Proceedings Volumes. 43:271-276
We present a suboptimal state estimation method under communication delays. The missing measurements are replaced with model predictions and these predictions are put into memory. When the delayed measurements arrive, the effect of using prediction a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f47b2e14462ca335a227e0c6a6c77e62
https://doi.org/10.3182/20100607-3-cz-4010.00049
https://doi.org/10.3182/20100607-3-cz-4010.00049
Publikováno v:
IFAC Proceedings Volumes. 42:310-315
This paper deals with estimating the process state where measurements are obtained via wireless networks. Transmission between the sensor and the estimator may be subject to random delays and/or data losses. A straightforward approach to address this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d62421cf896de12f9d63c9b851c8167
https://doi.org/10.3182/20090924-3-it-4005.00053
https://doi.org/10.3182/20090924-3-it-4005.00053
Publikováno v:
IFAC Proceedings Volumes. 42:44-49
The paper describes Advanced Combustion Control (ACC) system for the circulating fluidized bed (CFB) boilers. ACC is based on the model-based predictive control technology. The CFB boiler dynamics is represented by a non-linear low order model which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c688d6c88d45e7903d8fb9df37b5211
https://doi.org/10.3182/20090705-4-sf-2005.00010
https://doi.org/10.3182/20090705-4-sf-2005.00010