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pro vyhledávání: '"Simon Altmannshofer"'
Publikováno v:
AIM
Many applications of induction machines require a model and its electrical and mechanical parameters. The parameters can be estimated during the machine's operation in closed-loop by recursive algorithms. On-line estimation algorithms can yield suita
Publikováno v:
Intelligent Vehicles Symposium
Vehicle longitudinal control can be improved by knowledge of vehicle parameters. A robust estimation algorithm is presented to estimate unknown or uncertain vehicle parameters. These parameters are mass, rolling coefficient, air drag coefficient and
Autor:
Simon Altmannshofer
Publikováno v:
IFAC Proceedings Volumes. 45:442-447
The application of Nonlinear Model Predictive Control (NMPC) to systems with fast dynamics requires sample times in the range of milliseconds. Short sample intervals can be achieved by using suboptimal solutions of the underlying Nonlinear Program (N
Autor:
Peter Philipp, Simon Altmannshofer
Publikováno v:
ACC
This paper presents the realization of a new moving horizon estimator approach for nonlinear networked control systems and its experimental validation. Each sensor is equipped with an unsynchronized clock and transmits its time-stamped and non-unifor
Autor:
Christian Endisch, Simon Altmannshofer
Publikováno v:
BASE-Bielefeld Academic Search Engine
ACC
ACC
A robust parameter estimation algorithm for vehicle mass and driving resistance is presented. The estimation scheme uses a vehicle longitudinal model and common vehicle sensor signals. In contrast to other driving resistance estimators the proposed r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b0d3b2547e2e471e0585d29f314e4b
http://mediatum.ub.tum.de/nodeid%3D1321124
http://mediatum.ub.tum.de/nodeid%3D1321124
Autor:
Christian Endisch, Simon Altmannshofer
Publikováno v:
BASE-Bielefeld Academic Search Engine
Intelligente Verfahren ISBN: 9783662553268
Intelligente Verfahren ISBN: 9783662553268
In Kapitel 12 werden robuste Schatzverfahren zur Parameteridentifikation vorgestellt. Die Behandlung von Messausreisern und die stochastische Verteilung der Modellabweichungen werden behandelt. Der vorgestellte M-Schatzer mit Vergessensfaktor stellt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faa085eac75bcacad6cf3c8053115807
https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/1460
https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/1460