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math.OC2020
A reinforcement learning method with closed-loop stability guarantee
Pavel Osinenko, Lukas Beckenbach, Thomas Göhrt +1
Reinforcement learning (RL) in the context of control systems offers wide possibilities of controller adaptation. Given an infinite-horizon cost function, the so-called critic of R…
math.OC2019
Model predictive control with stage cost shaping inspired by reinforcement learning
Lukas Beckenbach, Pavel Osinenko, Stefan Streif
This work presents a suboptimality study of a particular model predictive control with a stage cost shaping based on the ideas of reinforcement learning. The focus of the suboptima…
math.OC2018
Practical sample-and-hold stabilization of nonlinear systems under approximate optimizers
Pavel Osinenko, Lukas Beckenbach, Stefan Streif
It is a known fact that not all controllable systems can be asymptotically stabilized by a continuous static feedback. Several approaches have been developed throughout the last de…