Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates
Neumann K, Lemme A, Steil JJ (2013)
Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.
Konferenzbeitrag
| Veröffentlicht | Englisch
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LemmeNeumannSteil2013.pdf
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Einrichtung
Erscheinungsjahr
2013
Seite(n)
1216-1222
Konferenz
Int. Conference Intelligent Robotics and Systems
Konferenzort
Tokio
Page URI
https://pub.uni-bielefeld.de/record/2637630
Zitieren
Neumann K, Lemme A, Steil JJ. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.
Neumann, K., Lemme, A., & Steil, J. J. (2013). Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.
Neumann, Klaus, Lemme, Andre, and Steil, Jochen J. 2013. “Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates”. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio , 1216-1222. IEEE.
Neumann, K., Lemme, A., and Steil, J. J. (2013).“Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates”. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.
Neumann, K., Lemme, A., & Steil, J.J., 2013. Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio.
K. Neumann, A. Lemme, and J.J. Steil, “Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates”, Presented at the Int. Conference Intelligent Robotics and Systems, Tokio, IEEE, 2013.
Neumann, K., Lemme, A., Steil, J.J.: Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio (2013).
Neumann, Klaus, Lemme, Andre, and Steil, Jochen J. “Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates”. Presented at the Int. Conference Intelligent Robotics and Systems, Tokio, IEEE, 2013.
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