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Master Thesis Robust Identification of Compositional Electrical Drive Models - Identifiability, Sensitivity & Excitation Analysis

Bosch

Renningen · Posted Sep 04

Engineering Onsite
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Master thesis on robust identification of compositional electrical drive models focusing on identifiability, sensitivity and excitation analysis; development of robustness diagnostics for identification pipeline; analysis of excitation content in datasets; benchmarking and documentation; addressing partially observable effects.

What they are looking for

Python Matlab Simulink Machine learning Pytorch

Details

Work type
Onsite
Remote eligible
No

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