activity
20192023
most citedRobust state and protection-level estimation within tightly coupled GNSS/INS navigation system

21 citations · 31 across the 12 of their papers we have counts for

collaborators

13 papers

eess.SY2023

Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs

Maximilian Nitsch, David Stenger, Dirk Abel

The performance of navigation algorithms significantly determines the trajectory tracking accuracy of the guidance, navigation, and control (GNC) system of an autonomous underwater…

eess.SY2022★ 6 cited

Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints

David Stenger, Dirk Abel

Controller tuning based on black-box optimization allows to automatically tune performance-critical parameters w.r.t. mostly arbitrary high-level closed-loop control objectives. Ho…

cs.RO2022

onlineFGO: Online Continuous-Time Factor Graph Optimization with Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale Environments

Haoming Zhang, Felix Widmayer, Lars Lünnemann +1

Accurate and consistent vehicle localization in urban areas is challenging due to the large-scale and complicated environments. In this paper, we propose onlineFGO, a novel time-ce…

eess.SY2022

Reduction and Observer Design for a Grey-Box Model in Continuous Pharmaceutical Manufacturing

Ahmed Elkhashap, Dirk Abel

In this contribution, a novel Reduced Order Model (ROM) formulation of the grey-box model proposed in Elkhashap et al. (2020a) for the pharmaceutical continuous vibrated fluid bed…

eess.SY2022

Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle

David Stenger, Maximilian Nitsch, Dirk Abel

The performance of a guidance, navigation and control (GNC) system of an autonomous underwater vehicle (AUV) heavily depends on the correct tuning of its parameters. Our objective…

eess.SY2022

Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines

Armin Norouzi, Saeid Shahpouri, David Gordon +6

The high thermal efficiency and reliability of the compression-ignition engine makes it the first choice for many applications. For this to continue, a reduction of the pollutant e…