Overcoming the curse of dimensionality for approximating Lyapunov functions with deep neural networks under a small-gain condition.
Lars GrünePublished in: CoRR (2020)
Keyphrases
- neural network
- sufficient conditions
- pattern recognition
- nonlinear functions
- back propagation
- fuzzy systems
- small number
- machine learning
- exponential stability
- stability analysis
- dynamical systems
- basis functions
- fault diagnosis
- genetic algorithm
- nonlinear systems
- fuzzy logic
- artificial neural networks
- nonlinear dynamics
- multilayer perceptron
- recurrent neural networks
- equilibrium point