activity
20202022
most citedToward Certification of Machine-Learning Systems for Low Criticality Airborne Applications

21 citations · 35 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2022★ 21 cited

Toward Certification of Machine-Learning Systems for Low Criticality Airborne Applications

K. Dmitriev, J. Schumann, F. Holzapfel

The exceptional progress in the field of machine learning (ML) in recent years has attracted a lot of interest in using this technology in aviation. Possible airborne applications…

stat.AP2022★ 1 cited

Statistical Dependence Analyses of Operational Flight Data Used for Landing Reconstruction Enhancement

Lukas Höhndorf, Thomas Nagler, Phillip Koppitz +2

The RTS smoother is widely used for state estimation and it is utilized here to increase the data quality with respect to physical coherence and to increase resolution. The purpose…

cs.SE2021

Be Lean -- How to Fit a Model-Based System Architecture Development Process Based on ARP4754 Into an Agile Environment

Daniel Dollinger, Julian Rhein, Kevin Schmiechen +1

An emerging service is moving the known aviation sector in terms of technology, paradigms, and key players - the Urban Air Mobility. The reason: new developments in non-aviation in…

eess.SY2020★ 1 cited

Rare-Event Chance-Constrained Flight Control Optimization Using Surrogate-Based Subset Simulation

Dalong Shi, Florian Holzapfel

A probabilistic performance-oriented control design optimization approach is introduced for flight systems. Aiming at estimating rare-event probabilities accurately and efficiently…

eess.SY2020★ 4 cited

Stability and Performance Analysis for SISO Incremental Flight Control

Zhidong Lu, Florian Holzapfel

Incremental Nonlinear Dynamic Inversion (INDI) control has attracted increasing research attention for it retains the high-performance of NDI and has enhanced robustness. However,…

eess.SY2020★ 8 cited

Polynomial Chaos-Based Flight Control Optimization with Guaranteed Probabilistic Performance

Dalong Shi, Xiang Fang, Florian Holzapfel

A probabilistic performance-oriented controller design approach based on polynomial chaos expansion and optimization is proposed for flight dynamic systems. Unlike robust control t…

cs.SE2020

A Lean and Highly-automated Model-Based Software Development Process Based on DO-178C/DO-331

Konstantin Dmitriev, Shanza Ali Zafar, Kevin Schmiechen +7

The emergence of a global market for urban air mobility and unmanned aerial systems has attracted many startups across the world. These organizations have little training or experi…