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Conference papers
Efficient Construction of Neural Networks Lyapunov Functions with Domain Of Attraction Maximization
Abstract : This work deals with a new method for computing Lyapunov functions represented by neural networks for autonomous nonlinear systems. Based on the Lyapunov theory and the notion of domain of attraction, we propose an optimization method for determining a Lyapunov function modelled by a neural network while maximizing the domain of attraction. The potential of the proposed method is demonstrated by simulation examples.
Cited literature [13 references]
https://hal-centralesupelec.archives-ouvertes.fr/hal-02860869
Contributor : Guillaume Sandou Connect in order to contact the contributor
Submitted on : Monday, June 8, 2020 - 4:20:03 PM
Last modification on : Tuesday, July 20, 2021 - 3:06:27 AM
Contributor : Guillaume Sandou Connect in order to contact the contributor
Submitted on : Monday, June 8, 2020 - 4:20:03 PM
Last modification on : Tuesday, July 20, 2021 - 3:06:27 AM
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ICINCO_2020_97 (2).pdf
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