Pavel Osinenko

Roman Zashchitin

Ruben Contreras Maestre

Ngoc Quoc Huy Hoang

CoRR, 2024

Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent.

[BibT_eX]

[DOI]

CoRR, 2024

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications.

[BibT_eX]

[DOI]

CoRR, 2024

An approach to improve agent learning via guaranteeing goal reaching in all episodes.

[BibT_eX]

[DOI]

CoRR, 2024

Neural Network-Based Classification for Automated Powdery Mildew Detection in Modern Tomato Greenhouses.

[BibT_eX]

[DOI]

IEEE Access, 2024

Optimal Flow Factor Determination in Vanadium Redox Flow Battery Control.

[BibT_eX]

[DOI]

IEEE Access, 2024

Model-Free Control for Drop-on-Demand Droplet Generation Using Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2024

2023

A Generalized Stacked Reinforcement Learning Method for Sampled Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., November, 2023

On Stochastic Stabilization via Nonsmooth Control Lyapunov Functions.

[BibT_eX]

[DOI]

Georgiy Malaniya

IEEE Trans. Autom. Control., August, 2023

Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion.

[BibT_eX]

[DOI]

CoRR, 2023

Experimental verification of an online traction parameter identification method.

[BibT_eX]

[DOI]

Alexander Kobelski

CoRR, 2023

An Actor-Critic Framework for Online Control With Environment Stability Guarantee.

[BibT_eX]

[DOI]

IEEE Access, 2023

Sliding Mode Control for a Class of Systems based on a Non-Monotonic Lyapunov Function.

[BibT_eX]

[DOI]

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Distributed State Estimation for Multi-Area Data Reconciliation.

[BibT_eX]

[DOI]

Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

2022

Towards a Constructive Framework for Control Theory.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2022

A stabilizing reinforcement learning approach for sampled systems with partially unknown models.

[BibT_eX]

[DOI]

CoRR, 2022

On stabilizing reinforcement learning without Lyapunov functions.

[BibT_eX]

[DOI]

Georgiy Malaniya

CoRR, 2022

On stochastic stabilization via non-smooth control Lyapunov functions.

[BibT_eX]

[DOI]

Georgiy Malaniya

CoRR, 2022

2021

On Inf-Convolution-Based Robust Practical Stabilization Under Computational Uncertainty.

[BibT_eX]

[DOI]

Patrick Schmidt

IEEE Trans. Autom. Control., 2021

On Constructive Extractability of Measurable Selectors of Set-Valued Maps.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

A comment on stabilizing reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2021

A generalized stacked reinforcement learning method for sampled systems.

[BibT_eX]

[DOI]

CoRR, 2021

An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control.

[BibT_eX]

[DOI]

CoRR, 2021

Effects of sampling and horizon in predictive reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2021

Optimal control of centrifugal spreader.

[BibT_eX]

[DOI]

Franz Rußwurm

CoRR, 2021

Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in 'Braeburn' apples.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2021

Effects of Sampling and Prediction Horizon in Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Access, 2021

A Study of First-Passage Time Minimization via Q-Learning in Heated Gridworlds.

[BibT_eX]

[DOI]

IEEE Access, 2021

On stochastic stabilization of sampled systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Converse Optimality for Discrete-Time Systems.

[BibT_eX]

[DOI]

Thomas Göhrt

IEEE Trans. Autom. Control., 2020

A Q-learning predictive control scheme with guaranteed stability.

[BibT_eX]

[DOI]

Eur. J. Control, 2020

A method of online traction parameter identification and mapping.

[BibT_eX]

[DOI]

Alexander Kobelski

CoRR, 2020

On closed-loop stability of model predictive controllers with learning costs.

[BibT_eX]

[DOI]

Proceedings of the 18th European Control Conference, 2020

2019

Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty.

[BibT_eX]

[DOI]

IMA J. Math. Control. Inf., 2019

Adaptive Dynamic Programming Using Lyapunov Function Constraints.

[BibT_eX]

[DOI]

Thomas Göhrt

IEEE Control. Syst. Lett., 2019

Model predictive control with stage cost shaping inspired by reinforcement learning.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

A constructive version of the extremum value theorem for spaces of vector-valued functions.

[BibT_eX]

[DOI]

J. Log. Anal., 2018

Analysis of the Caratheodory' s theorem on dynamical system trajectories under numerical uncertainty.

[BibT_eX]

[DOI]

Grigory Devadze

IEEE CAA J. Autom. Sinica, 2018

Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2018

Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 16th European Control Conference, 2018

2016

Experimental results of slip control with a fuzzy-logic-assisted unscented Kalman filter for state estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Fuzzy-logic assisted power management for electrified mobile machinery.

[BibT_eX]

[DOI]

Mike Geissler

Thomas Herlitzius

Neurocomputing, 2015

Winding switching strategy for electric wheel drives in agricultural machinery.

[BibT_eX]

[DOI]

Mike Geissler

Thomas Herlitzius

Proceedings of the IEEE International Conference on Industrial Technology, 2015

2014

Adaptive unscented Kaiman filter with a fuzzy supervisor for electrified drive train tractors.

[BibT_eX]

[DOI]