On probabilistic inference approaches to stochastic optimal control
KC Rawlik - 2013 - era.ed.ac.uk
While stochastic optimal control, together with associate formulations like Reinforcement
Learning, provides a formal approach to, amongst other, motor control, it remains …
Learning, provides a formal approach to, amongst other, motor control, it remains …
Continuous-time approximated parametric output-feedback nonlinear model predictive control
C Kallies, M Ibrahim, R Findeisen - IFAC-PapersOnLine, 2021 - Elsevier
Designing predictive controllers for systems with computationally limited embedded
hardware, eg for autonomous vehicles, requires solving an optimization problem in real-time …
hardware, eg for autonomous vehicles, requires solving an optimization problem in real-time …
[PDF][PDF] Approximated adaptive explicit parametric optimal control
C Kallies - 2021 - pure.mpg.de
Optimal control problems are among the most important formulations and elements in
control engineering. Many methods for control, estimation, and monitoring are based on the …
control engineering. Many methods for control, estimation, and monitoring are based on the …