Overcoming the curse of dimensionality for approximating Lyapunov functions with deep neural networks under a small-gain condition

Lars Grüne

We propose a deep neural network architecture for storing approximate Lyapunov functions of systems of ordinary differential equations. Under a small-gain condition on the system,…