research
          
      
      ∙
      07/10/2023
    Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors
Due to the increasing complexity of technical systems, accurate first pr...
          
            research
          
      
      ∙
      01/13/2021
    Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control
In application areas where data generation is expensive, Gaussian proces...
          
            research
          
      
      ∙
      11/20/2020
    The Value of Data in Learning-Based Control for Training Subset Selection
Despite the existence of formal guarantees for learning-based control ap...
          
            research
          
      
      ∙
      10/06/2020
    Real-time Uncertainty Decomposition for Online Learning Control
Safety-critical decisions based on machine learning models require a cle...
          
            research
          
      
      ∙
      05/25/2020
    How Training Data Impacts Performance in Learning-based Control
When first principle models cannot be derived due to the complexity of t...
          
            research
          
      
      ∙
      05/04/2020
    Localized active learning of Gaussian process state space models
The performance of learning-based control techniques crucially depends o...
          
            research
          
      
      ∙
      06/04/2019
    Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves
The posterior variance of Gaussian processes is a valuable measure of th...
          
            research
          
      
      ∙
      06/04/2019
    Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
Data-driven models are subject to model errors due to limited and noisy ...
          
            research
          
      
      ∙
      11/16/2018
     
             
  
  
     
                             share
 share