Data-driven End-to-end Learning of Pole Placement Control for Nonlinear Dynamics via Koopman Invariant Subspaces.

Tomoharu Iwata Yoshinobu Kawahara

Published in: CoRR (2022)

Keyphrases

end to end
data driven
nonlinear dynamics
neural network
learning algorithm
reinforcement learning
adaptive control
admission control
real world
optimal control
wireless ad hoc networks
application layer
iterative learning