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Computation of Neural Networks Lyapunov Functions for Discrete and Continuous Time Systems with Domain Of Attraction Maximization

Benjamin Bocquillon 1, 2 Philippe Feyel 1 Guillaume Sandou 3 Pedro Rodriguez-Ayerbe 2
1 SAFRAN Electronics & Defense
2 L2S - Laboratoire des signaux et systèmes
3 L2S - Laboratoire des signaux et systèmes
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Conference papers
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https://hal-centralesupelec.archives-ouvertes.fr/hal-03105504
Contributor : Guillaume Sandou <>
Submitted on : Monday, January 11, 2021 - 10:25:24 AM
Last modification on : Saturday, May 1, 2021 - 3:46:32 AM
Long-term archiving on: : Monday, April 12, 2021 - 6:33:41 PM

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  • HAL Id : hal-03105504, version 1

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CENTRALESUPELEC | SUP_LSS | SUP_SYSTEMES | TDS-MACS | CNRS | L2S | GS-ENGINEERING | GS-COMPUTER-SCIENCE

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Benjamin Bocquillon, Philippe Feyel, Guillaume Sandou, Pedro Rodriguez-Ayerbe. Computation of Neural Networks Lyapunov Functions for Discrete and Continuous Time Systems with Domain Of Attraction Maximization. 12th International Conference on Neural Computation Theory and Applications, Nov 2020, Virtual Conference, France. ⟨hal-03105504⟩

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