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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
A. Lederer; Q. Hao; S. Hirche 
Title:
Confidence Regions for Simulations with Learned Probabilistic Models 
Abstract:
Due to the growing amount of data and processing capabilities, machine learning techniques are increasingly applied for the identification of dynamical systems. Especially probabilistic methods are promising for learning models, which in turn are frequently used for simulations. Although confidence regions around predicted trajectories are of crucial importance in many control approaches, few rigorous mathematical analysis methods are available for learned probabilistic models. Therefore, we pro...    »
 
Keywords:
data_driven_control 
Book / Congress title:
Proceedings of the American Control Conference (ACC) 
Year:
2020 
Year / month:
2020-07 
Pages:
3947-3952