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Safe Machine-Learning-supported Model Predictive Force and Motion Control in Robotics
The model predictive controller uses these Gaussian process models to achieve precise motion and force control under stochastic constraint satisfaction.
Machine Learning for Process Control of (Bio)Chemical Processes
The control of manufacturing processes must satisfy high quality and efficiency requirements while meeting safety requirements.
Learning supported Model Predictive Control for Tracking of Periodic References
Increased autonomy of controllers in tasks with uncertainties stemming from the interaction with the environment can be achieved by incorporation of learning.
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