Pavel Osinenko

Orcid: 0000-0002-6184-3293

According to our database1, Pavel Osinenko authored at least 38 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Flow Factor Determination in Vanadium Redox Flow Battery Control.
IEEE Access, 2024

2023
A Generalized Stacked Reinforcement Learning Method for Sampled Systems.
IEEE Trans. Autom. Control., November, 2023

On Stochastic Stabilization via Nonsmooth Control Lyapunov Functions.
IEEE Trans. Autom. Control., August, 2023

Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion.
CoRR, 2023

Experimental verification of an online traction parameter identification method.
CoRR, 2023

An Actor-Critic Framework for Online Control With Environment Stability Guarantee.
IEEE Access, 2023

Sliding Mode Control for a Class of Systems based on a Non-Monotonic Lyapunov Function.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Distributed State Estimation for Multi-Area Data Reconciliation.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

2022
Towards a Constructive Framework for Control Theory.
IEEE Control. Syst. Lett., 2022

A stabilizing reinforcement learning approach for sampled systems with partially unknown models.
CoRR, 2022

On stabilizing reinforcement learning without Lyapunov functions.
CoRR, 2022

On stochastic stabilization via non-smooth control Lyapunov functions.
CoRR, 2022

2021
On Inf-Convolution-Based Robust Practical Stabilization Under Computational Uncertainty.
IEEE Trans. Autom. Control., 2021

On Constructive Extractability of Measurable Selectors of Set-Valued Maps.
IEEE Trans. Autom. Control., 2021

A comment on stabilizing reinforcement learning.
CoRR, 2021

A generalized stacked reinforcement learning method for sampled systems.
CoRR, 2021

An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control.
CoRR, 2021

Effects of sampling and horizon in predictive reinforcement learning.
CoRR, 2021

Optimal control of centrifugal spreader.
CoRR, 2021

Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in 'Braeburn' apples.
Comput. Electron. Agric., 2021

Effects of Sampling and Prediction Horizon in Reinforcement Learning.
IEEE Access, 2021

A Study of First-Passage Time Minimization via Q-Learning in Heated Gridworlds.
IEEE Access, 2021

On stochastic stabilization of sampled systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Converse Optimality for Discrete-Time Systems.
IEEE Trans. Autom. Control., 2020

A Q-learning predictive control scheme with guaranteed stability.
Eur. J. Control, 2020

A method of online traction parameter identification and mapping.
CoRR, 2020

On closed-loop stability of model predictive controllers with learning costs.
Proceedings of the 18th European Control Conference, 2020

2019
Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty.
IMA J. Math. Control. Inf., 2019

Adaptive Dynamic Programming Using Lyapunov Function Constraints.
IEEE Control. Syst. Lett., 2019

Model predictive control with stage cost shaping inspired by reinforcement learning.
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.
J. Log. Anal., 2018

Analysis of the Caratheodory' s theorem on dynamical system trajectories under numerical uncertainty.
IEEE CAA J. Autom. Sinica, 2018

Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers.
IEEE Control. Syst. Lett., 2018

Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control.
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.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Fuzzy-logic assisted power management for electrified mobile machinery.
Neurocomputing, 2015

Winding switching strategy for electric wheel drives in agricultural machinery.
Proceedings of the IEEE International Conference on Industrial Technology, 2015

2014
Adaptive unscented Kaiman filter with a fuzzy supervisor for electrified drive train tractors.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014


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