Computing Lyapunov functions using deep neural networks
Author:
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Computational Mathematics,Computational Mechanics,General Medicine
Reference45 articles.
1. M. Abadi, A. Agarwal, P. Barham, E. Brevdo and Z. Chen, et al., TensorFlow: Large-scale machine learning on heterogeneous systems, 2015., Available from: https://www.tensorflow.org/.
2. M. Abu-Khalaf, F. L. Lewis.Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach, Automatica J. IFAC, 41 (2005), 779-791.
3. J. Anderson, A. Papachristodoulou.Advances in computational Lyapunov analysis using sum-of-squares programming, Discrete Contin. Dyn. Syst. Ser. B, 20 (2015), 2361-2381.
4. J. Berner, P. Grohs, A. Jentzen.Analysis of the generalization error: Empirical risk minimization over deep artificial neural networks overcomes the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations, SIAM J. Math. Data Sci., 2 (2020), 631-657.
5. L. Bottou, Large-scale machine learning with stochastic gradient descent, in Proceedings of COMPSTAT'2010, Physica-Verlag/Springer, Heidelberg, 2010, 177-186.
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