Search Results for author:
Found 3 papers, 1 papers with code
Efficient time stepping for numerical integration using reinforcement learning
While the classical schemes apply very generally and are highly efficient on regular systems, they can behave sub-optimal when an inefficient step rejection mechanism is triggered by structurally complex systems such as chaotic systems.
Deep Model Predictive Control with Online Learning for Complex Physical Systems
The control of complex systems is of critical importance in many branches of science, engineering, and industry.
A Subdivision Algorithm for the Computation of Unstable Manifolds and Global Attractors
Each invariant set of a given dynamical system is part of the global attractor.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
