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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
J. Umlauft; S. Hirche 
Title:
Learning Stable Stochastic Nonlinear Dynamical Systems 
Abstract:
A data-driven identification of dynamical systems requiring only minimal prior knowledge is promising whenever no analytically derived model structure is available, e.g., from first principles in physics. However, meta-knowledge on the system’s behavior is often given and should be exploited: Stability as fundamental property is essential when the model is used for controller design or movement generation. Therefore, this paper proposes a framework for learning stable stochas...    »
 
Keywords:
conhumo; data_driven_control 
Book / Congress title:
International Conference on Machine Learning (ICML) 
Year:
2017 
Month:
Aug 
Pages:
Reviewed:
ja