M.Sc. Alexander Wache
Wissenschaftlicher Mitarbeiter
Forschung
Forschung
- Modellierung, Simulation und Regelungsentwurf für pneumatische Aktuatoren
- Entwicklung iterativ lernender Regelungsverfahren zur Optimierung periodischer Prozesse
Begutachtete Kongressbeiträge
2017
2017
- Aschemann, Harald; Wache, Alexander; Prabel, Robert: Backstepping Control Design for a Pneumatically Actuated Tumour Motion Model, IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2017, Munich, Germany.
- Wache, Alexander; Aschemann, Harald; Prabel, Robert; Kurth, Jens; Krause, Bernd J.; Zorn, Stefan: Iterative Learning Control of a Pneumatically Actuated Lung Tumour Mimic Model, 20th World Congress of the International Federation of Automatic Control, IFAC 2017,Toulouse, France.
- Wache, Alexander; Aschemann, Harald; Kraegenbring, Ole: A Discrete-Time Inversion-Based Approach to Iterative Learning Control of an Overhead Crane, 36th Chinese Control Conference, CCC 2017, Dalian, China.
- Wache, Alexander; Aschemann, Harald; Kraegenbring, Ole: A Discrete-Time Norm-Optimal Approach to Iterative Learning Control of a Bridge Crane, 22nd International Conference on Methods and Models in Automations and Robotics, MMAR 2017, Miedzyzdroje, Poland.