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Found 3 papers, 1 papers with code
Koopman-Based Neural Lyapunov Functions for General Attractors
Koopman spectral theory has grown in the past decade as a powerful tool for dynamical systems analysis and control.
Towards cyber-physical systems robust to communication delays: A differential game approach
Collaboration between interconnected cyber-physical systems is becoming increasingly pervasive.
Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks
Convolutional and recurrent neural networks have been widely employed to achieve state-of-the-art performance on classification tasks.
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