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2020 – today
- 2024
[c9]Niklas Kruse, Alexander Wache, Harald Aschemann, Jens Starke:
Data-Driven Model Predictive Control of a Nonlinear Ball-on-a- Wheel System. ACC 2024: 887-892- 2023
- [c8]Alexander Wache, Harald Aschemann:
Optimal Sliding-Mode Control Using Sensitivity-Based Parameter Optimisation. MMAR 2023: 169-174 - 2022
- [c7]Alexander Wache, Harald Aschemann:
Sensitivity-Based Iterative State-Feedback Tuning for Nonlinear Systems. ICSTCC 2022: 472-477 - 2020
- [c6]Alexander Wache, Harald Aschemann:
Self-Tuning of Individual Control Components for Systems with Parameter Uncertainties and Disturbances. CCTA 2020: 120-125
2010 – 2019
- 2019
- [c5]Alexander Wache, Harald Aschemann:
Self-Tuning Control for Nonlinear Systems Using a State-Dependent Riccati Equation Approach. MMAR 2019: 564-569 - 2018
- [c4]Alexander Wache, Robert Prabel, Harald Aschemann:
Accurate Position Tracking Control of a Lung Tumor Mimic Model Using a Low-Cost Pneumatic Robot. ACC 2018: 3348-3353 - [c3]Alexander Wache, Harald Aschemann:
Feedforward Position Control Concepts for Radial Pneumatic Engines. MMAR 2018: 573-578 - 2017
- [c2]Harald Aschemann, Alexander Wache, Robert Prabel:
Backstepping motion control design for a pneumatically actuated tumour mimic model. AIM 2017: 303-308 - [c1]Harald Aschemann, Alexander Wache, Ole Kraegenbring:
A discrete-time norm-optimal approach to iterative learning control of a bridge crane. MMAR 2017: 319-324
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