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ORCIDPavel Osinenko
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Journal Articles
- 2024
[j19]Alexander Morozov
, Mikhail Pugach, Andrey Polyakov, Pavel Osinenko, Anton Bolychev, Vladimir V. Terzija, Sergey E. Parsegov:
Optimal Flow Factor Determination in Vanadium Redox Flow Battery Control. IEEE Access 12: 19277-19284 (2024)- [j18]Ilya Osokin, Ilya Ryakin, Sina Moghimi, Mikhail Patrikeev, Ilya Barsky, Pavel Osinenko:
Neural Network-Based Classification for Automated Powdery Mildew Detection in Modern Tomato Greenhouses. IEEE Access 12: 86782-86789 (2024) - 2023
- [j17]Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya, Anton Bolychev:
An Actor-Critic Framework for Online Control With Environment Stability Guarantee. IEEE Access 11: 89188-89204 (2023) - [j16]Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya:
On Stochastic Stabilization via Nonsmooth Control Lyapunov Functions. IEEE Trans. Autom. Control. 68(8): 4925-4931 (2023) - [j15]Pavel Osinenko, Dmitrii Dobriborsci, Grigory Yaremenko, Georgiy Malaniya:
A Generalized Stacked Reinforcement Learning Method for Sampled Systems. IEEE Trans. Autom. Control. 68(11): 7006-7013 (2023) - 2022
- [j14]Pavel Osinenko:
Towards a Constructive Framework for Control Theory. IEEE Control. Syst. Lett. 6: 379-384 (2022) - 2021
- [j13]Pavel Osinenko, Dmitrii Dobriborsci:
Effects of Sampling and Prediction Horizon in Reinforcement Learning. IEEE Access 9: 127611-127618 (2021) - [j12]Maria A. Larchenko, Pavel Osinenko, Grigory Yaremenko, Vladimir V. Palyulin:
A Study of First-Passage Time Minimization via Q-Learning in Heated Gridworlds. IEEE Access 9: 159349-159363 (2021) - [j11]Pavel Osinenko, Konni Biegert, Roy J. McCormick, Thomas Göhrt, Grigory Devadze, Josef Streif, Stefan Streif:
Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in 'Braeburn' apples. Comput. Electron. Agric. 183: 106015 (2021) - [j10]Pavel Osinenko, Stefan Streif:
On Constructive Extractability of Measurable Selectors of Set-Valued Maps. IEEE Trans. Autom. Control. 66(8): 3757-3764 (2021) - [j9]Patrick Schmidt, Pavel Osinenko, Stefan Streif:
On Inf-Convolution-Based Robust Practical Stabilization Under Computational Uncertainty. IEEE Trans. Autom. Control. 66(11): 5530-5537 (2021) - 2020
- [j8]Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
A Q-learning predictive control scheme with guaranteed stability. Eur. J. Control 56: 167-178 (2020) - [j7]Thomas Göhrt, Pavel Osinenko, Stefan Streif:
Converse Optimality for Discrete-Time Systems. IEEE Trans. Autom. Control. 65(5): 2257-2264 (2020) - 2019
- [j6]Thomas Göhrt, Pavel Osinenko, Stefan Streif:
Adaptive Dynamic Programming Using Lyapunov Function Constraints. IEEE Control. Syst. Lett. 3(4): 901-906 (2019) - [j5]Pavel Osinenko, Stefan Streif:
Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty. IMA J. Math. Control. Inf. 36(3): 1015-1032 (2019) - 2018
- [j4]Pavel Osinenko, Lukas Beckenbach, Stefan Streif:
Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers. IEEE Control. Syst. Lett. 2(4): 569-574 (2018) - [j3]Pavel Osinenko, Grigory Devadze, Stefan Streif:
Analysis of the Caratheodory' s theorem on dynamical system trajectories under numerical uncertainty. IEEE CAA J. Autom. Sinica 5(4): 787-793 (2018) - [j2]Pavel Osinenko, Stefan Streif:
A constructive version of the extremum value theorem for spaces of vector-valued functions. J. Log. Anal. 10 (2018) - 2015
- [j1]Pavel Osinenko, Mike Geissler, Thomas Herlitzius:
Fuzzy-logic assisted power management for electrified mobile machinery. Neurocomputing 170: 439-447 (2015)
Conference and Workshop Papers
- 2024
- [c12]Sinan Ibrahim, S. M. Ahsan Kazmi, Dmitrii Dobriborsci, Roman Zashchitin, Mostafa Mostafa, Pavel Osinenko:
Reward Planning For Underactuated Robotic Systems With Parameters Uncertainty: Greedy-Divide and Conquer. CoDIT 2024: 1518-1523 - [c11]Dmitrii Dobriborsci, Ilya Chichkanov, Roman Zashchitin, Pavel Osinenko:
Model-based reinforcement learning experimental study for mobile robot navigation. CoDIT 2024: 1825-1830 - [c10]Mikhail Vulf, Anton Bolychev, Dmitry Kolomenskiy, Pavel Osinenko:
Model-Free Control for Drop-on-Demand Droplet Generation Using Reinforcement Learning. ECC 2024: 2534-2539 - 2023
- [c9]Parijat Prasun, Vijay Kumar Singh, Vinay Pandey, Shyam Kamal, Sandip Ghosh, Pavel Osinenko, Sergei Parsegov:
Sliding Mode Control for a Class of Systems based on a Non-Monotonic Lyapunov Function. MED 2023: 618-623 - [c8]Victoria Erofeeva, Sergei Parsegov, Pavel Osinenko, Shyam Kamal:
Distributed State Estimation for Multi-Area Data Reconciliation. MED 2023: 954-959 - 2021
- [c7]Pavel Osinenko, Grigory Yaremenko:
On stochastic stabilization of sampled systems. CDC 2021: 5326-5331 - 2020
- [c6]Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
On closed-loop stability of model predictive controllers with learning costs. ECC 2020: 184-189 - 2019
- [c5]Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
Model predictive control with stage cost shaping inspired by reinforcement learning. CDC 2019: 7110-7115 - 2018
- [c4]Lukas Beckenbach, Pavel Osinenko, Thomas Göhrt, Stefan Streif:
Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control. ECC 2018: 1349-1354 - 2016
- [c3]Pavel Osinenko, Mike Geissler, Thomas Herlitzius, Stefan Streif:
Experimental results of slip control with a fuzzy-logic-assisted unscented Kalman filter for state estimation. FUZZ-IEEE 2016: 501-507 - 2015
- [c2]Mike Geissler, Pavel Osinenko, Thomas Herlitzius:
Winding switching strategy for electric wheel drives in agricultural machinery. ICIT 2015: 851-856 - 2014
- [c1]Pavel Osinenko, Mike Geissler, Thomas Herlitzius:
Adaptive unscented Kaiman filter with a fuzzy supervisor for electrified drive train tractors. FUZZ-IEEE 2014: 322-331
Informal and Other Publications
- 2024
- [i19]Pavel Osinenko, Stefan Streif:
On constructive extractability of measurable selectors of set-valued maps. CoRR abs/2403.05858 (2024) - [i18]Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya, Anton Bolychev:
An approach to improve agent learning via guaranteeing goal reaching in all episodes. CoRR abs/2405.18118 (2024) - [i17]Sinan Ibrahim, Mostafa Mostafa, Ali Jnadi, Pavel Osinenko:
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications. CoRR abs/2408.10215 (2024) - [i16]Pavel Osinenko, Grigory Yaremenko, Roman Zashchitin, Anton Bolychev, Sinan Ibrahim, Dmitrii Dobriborsci:
Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent. CoRR abs/2409.09869 (2024) - [i15]Grigory Yaremenko, Dmitrii Dobriborsci, Roman Zashchitin, Ruben Contreras Maestre, Ngoc Quoc Huy Hoang, Pavel Osinenko:
A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robot. CoRR abs/2409.14867 (2024) - 2023
- [i14]Alexander Kobelski, Pavel Osinenko, Stefan Streif:
Experimental verification of an online traction parameter identification method. CoRR abs/2303.09860 (2023) - [i13]Vyacheslav Kovalev, Anna Shkromada, Henni Ouerdane, Pavel Osinenko:
Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion. CoRR abs/2307.07752 (2023) - 2022
- [i12]Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya:
On stochastic stabilization via non-smooth control Lyapunov functions. CoRR abs/2205.13409 (2022) - [i11]Pavel Osinenko, Grigory Yaremenko, Georgiy Malaniya:
On stabilizing reinforcement learning without Lyapunov functions. CoRR abs/2207.08730 (2022) - [i10]Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
A stabilizing reinforcement learning approach for sampled systems with partially unknown models. CoRR abs/2208.14714 (2022) - 2021
- [i9]Patrick Schmidt, Pavel Osinenko, Stefan Streif:
On inf-convolution-based robust practical stabilization under computational uncertainty. CoRR abs/2102.04309 (2021) - [i8]Franz Rußwurm, Pavel Osinenko, Stefan Streif:
Optimal control of centrifugal spreader. CoRR abs/2105.13124 (2021) - [i7]Pavel Osinenko, Dmitrii Dobriborsci:
Effects of sampling and horizon in predictive reinforcement learning. CoRR abs/2108.04802 (2021) - [i6]Dmitrii Dobriborsci, Pavel Osinenko:
An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control. CoRR abs/2108.04857 (2021) - [i5]Pavel Osinenko, Dmitrii Dobriborsci:
A generalized stacked reinforcement learning method for sampled systems. CoRR abs/2108.10392 (2021) - [i4]Maria A. Larchenko, Pavel Osinenko, Grigory Yaremenko, Vladimir V. Palyulin:
A study of first-passage time minimization via Q-learning in heated gridworlds. CoRR abs/2110.02129 (2021) - [i3]Pavel Osinenko, Georgiy Malaniya, Grigory Yaremenko, Ilya Osokin:
A comment on stabilizing reinforcement learning. CoRR abs/2111.12316 (2021) - 2020
- [i2]Alexander Kobelski, Pavel Osinenko, Stefan Streif:
A method of online traction parameter identification and mapping. CoRR abs/2006.07344 (2020) - 2019
- [i1]Lukas Beckenbach, Pavel Osinenko, Stefan Streif:
Model predictive control with stage cost shaping inspired by reinforcement learning. CoRR abs/1906.02580 (2019)
Coauthor Index
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