IEEE - Institute of Electrical and Electronics Engineers, Inc. - Neural learning of stable dynamical systems based on data-driven Lyapunov candidates

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013)

Author(s): Klaus Neumann ; Andre Lemme ; Jochen J. Steil
Sponsor(s): IEEE Ind. Electron. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 November 2013
Conference Location: Tokyo, Japan
Conference Date: 3 November 2013
Page(s): 1,216 - 1,222
ISSN (Paper): 2153-0858
DOI: 10.1109/IROS.2013.6696505
Regular:

Nonlinear dynamical systems are a promising representation to learn complex robot movements. Besides their undoubted modeling power, it is of major importance that such systems work in a stable... View More

Advertisement