Adaptive unscented Kaiman filter with a fuzzy supervisor for electrified drive train tractors. - Pavel Osinenko; Mike Geissler; Thomas Herlitzius (FUZZ-IEEE, 2014)

Winding switching strategy for electric wheel drives in agricultural machinery. - Mike Geissler; Pavel Osinenko; Thomas Herlitzius (ICIT, 2015)

Fuzzy-logic assisted power management for electrified mobile machinery. - Pavel Osinenko; Mike Geissler; Thomas Herlitzius (Neurocomputing, 2015)

Experimental results of slip control with a fuzzy-logic-assisted unscented Kalman filter for state estimation. - Pavel Osinenko; Mike Geissler; Thomas Herlitzius; Stefan Streif (FUZZ-IEEE, 2016)

Constrained and Stabilizing Stacked Adaptive Dynamic Programming and a Comparison with Model Predictive Control. - Lukas Beckenbach; Pavel Osinenko; Thomas Göhrt; Stefan Streif (ECC, 2018)

Practical Sample-and-Hold Stabilization of Nonlinear Systems Under Approximate Optimizers. - Pavel Osinenko; Lukas Beckenbach; Stefan Streif (IEEE Control. Syst. Lett., 2018)

Analysis of the Caratheodory' s theorem on dynamical system trajectories under numerical uncertainty. - Pavel Osinenko; Grigory Devadze; Stefan Streif (IEEE CAA J. Autom. Sinica, 2018)

A constructive version of the extremum value theorem for spaces of vector-valued functions. - Pavel Osinenko; Stefan Streif (J. Log. Anal., 2018)

Model predictive control with stage cost shaping inspired by reinforcement learning. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (CDC, 2019)

Adaptive Dynamic Programming Using Lyapunov Function Constraints. - Thomas Göhrt; Pavel Osinenko; Stefan Streif (IEEE Control. Syst. Lett., 2019)

Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty. - Pavel Osinenko; Stefan Streif (IMA J. Math. Control. Inf., 2019)

On closed-loop stability of model predictive controllers with learning costs. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (ECC, 2020)

A method of online traction parameter identification and mapping. - Alexander Kobelski; Pavel Osinenko; Stefan Streif (CoRR, 2020)

A Q-learning predictive control scheme with guaranteed stability. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (Eur. J. Control, 2020)

Converse Optimality for Discrete-Time Systems. - Thomas Göhrt; Pavel Osinenko; Stefan Streif (IEEE Trans. Autom. Control., 2020)

On stochastic stabilization of sampled systems. - Pavel Osinenko; Grigory Yaremenko (CDC, 2021)

A Study of First-Passage Time Minimization via Q-Learning in Heated Gridworlds. - Maria A. Larchenko; Pavel Osinenko; Grigory Yaremenko; Vladimir V. Palyulin (IEEE Access, 2021)

Effects of Sampling and Prediction Horizon in Reinforcement Learning. - Pavel Osinenko; Dmitrii Dobriborsci (IEEE Access, 2021)

Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in 'Braeburn' apples. - Pavel Osinenko; Konni Biegert; Roy J. McCormick; Thomas Göhrt; Grigory Devadze; Josef Streif; Stefan Streif (Comput. Electron. Agric., 2021)

Optimal control of centrifugal spreader. - Franz Rußwurm; Pavel Osinenko; Stefan Streif (CoRR, 2021)

Effects of sampling and horizon in predictive reinforcement learning. - Pavel Osinenko; Dmitrii Dobriborsci (CoRR, 2021)

An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control. - Dmitrii Dobriborsci; Pavel Osinenko (CoRR, 2021)

A generalized stacked reinforcement learning method for sampled systems. - Pavel Osinenko; Dmitrii Dobriborsci (CoRR, 2021)

A comment on stabilizing reinforcement learning. - Pavel Osinenko; Georgiy Malaniya; Grigory Yaremenko; Ilya Osokin (CoRR, 2021)

On Constructive Extractability of Measurable Selectors of Set-Valued Maps. - Pavel Osinenko; Stefan Streif (IEEE Trans. Autom. Control., 2021)

On Inf-Convolution-Based Robust Practical Stabilization Under Computational Uncertainty. - Patrick Schmidt; Pavel Osinenko; Stefan Streif (IEEE Trans. Autom. Control., 2021)

On stochastic stabilization via non-smooth control Lyapunov functions. - Pavel Osinenko; Grigory Yaremenko; Georgiy Malaniya (CoRR, 2022)

On stabilizing reinforcement learning without Lyapunov functions. - Pavel Osinenko; Grigory Yaremenko; Georgiy Malaniya (CoRR, 2022)

A stabilizing reinforcement learning approach for sampled systems with partially unknown models. - Lukas Beckenbach; Pavel Osinenko; Stefan Streif (CoRR, 2022)

Towards a Constructive Framework for Control Theory. - Pavel Osinenko (IEEE Control. Syst. Lett., 2022)

Distributed State Estimation for Multi-Area Data Reconciliation. - Victoria Erofeeva; Sergei Parsegov; Pavel Osinenko; Shyam Kamal (MED, 2023)

Sliding Mode Control for a Class of Systems based on a Non-Monotonic Lyapunov Function. - Parijat Prasun; Vijay Kumar Singh; Vinay Pandey; Shyam Kamal; Sandip Ghosh; Pavel Osinenko; Sergei Parsegov (MED, 2023)

An Actor-Critic Framework for Online Control With Environment Stability Guarantee. - Pavel Osinenko; Grigory Yaremenko; Georgiy Malaniya; Anton Bolychev (IEEE Access, 2023)

Experimental verification of an online traction parameter identification method. - Alexander Kobelski; Pavel Osinenko; Stefan Streif (CoRR, 2023)

Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion. - Vyacheslav Kovalev; Anna Shkromada; Henni Ouerdane; Pavel Osinenko (CoRR, 2023)

On Stochastic Stabilization via Nonsmooth Control Lyapunov Functions. - Pavel Osinenko; Grigory Yaremenko; Georgiy Malaniya (IEEE Trans. Autom. Control., 2023)

A Generalized Stacked Reinforcement Learning Method for Sampled Systems. - Pavel Osinenko; Dmitrii Dobriborsci; Grigory Yaremenko; Georgiy Malaniya (IEEE Trans. Autom. Control., 2023)

Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent. - Pavel Osinenko; Grigory Yaremenko; Roman Zashchitin; Anton Bolychev; Sinan Ibrahim; Dmitrii Dobriborsci (CDC, 2024)

Model-based reinforcement learning experimental study for mobile robot navigation. - Dmitrii Dobriborsci; Ilya Chichkanov; Roman Zashchitin; Pavel Osinenko (CoDIT, 2024)

Reward Planning For Underactuated Robotic Systems With Parameters Uncertainty: Greedy-Divide and Conquer. - Sinan Ibrahim; S. M. Ahsan Kazmi; Dmitrii Dobriborsci; Roman Zashchitin; Mostafa Mostafa; Pavel Osinenko (CoDIT, 2024)

Model-Free Control for Drop-on-Demand Droplet Generation Using Reinforcement Learning. - Mikhail Vulf; Anton Bolychev; Dmitry Kolomenskiy; Pavel Osinenko (ECC, 2024)

Optimizing Energy Consumption for Legged Robot by Adapting Equilibrium Position and Stiffness of a Parallel Torsion Spring. - Danil Belov; Artem Erkhov; Farit Khabibullin; Elisaveta Pestova; Sergei Satsevich; Ilya Osokin; Pavel Osinenko; Dzmitry Tsetserukou (ROBIO, 2024)

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications. - Sinan Ibrahim; Mostafa Mostafa; Ali Jnadi; Hadi Salloum; Pavel Osinenko (IEEE Access, 2024)

Optimal Flow Factor Determination in Vanadium Redox Flow Battery Control. - Alexander Morozov; Mikhail Pugach; Andrey Polyakov 001; Pavel Osinenko; Anton Bolychev; Vladimir V. Terzija; Sergey E. Parsegov (IEEE Access, 2024)

Neural Network-Based Classification for Automated Powdery Mildew Detection in Modern Tomato Greenhouses. - Ilya Osokin; Ilya Ryakin; Sina Moghimi; Mikhail Patrikeev; Ilya Barsky; Pavel Osinenko (IEEE Access, 2024)

An approach to improve agent learning via guaranteeing goal reaching in all episodes. - Pavel Osinenko; Grigory Yaremenko; Georgiy Malaniya; Anton Bolychev (CoRR, 2024)

Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications. - Sinan Ibrahim; Mostafa Mostafa; Ali Jnadi; Pavel Osinenko (CoRR, 2024)

A novel agent with formal goal-reaching guarantees: an experimental study with a mobile robot. - Grigory Yaremenko; Dmitrii Dobriborsci; Roman Zashchitin; Ruben Contreras Maestre; Ngoc Quoc Huy Hoang; Pavel Osinenko (CoRR, 2024)

Some Remarks on Robustness of Sample-and-Hold Stabilization. - Patrick Schmidt; Pavel Osinenko; Stefan Streif (IEEE Control. Syst. Lett., 2024)

Predictive reinforcement learning: map-less navigation method for mobile robot. - Dmitrii Dobriborsci; Roman Zashchitin; Mikhail Kakanov; Wolfgang Aumer; Pavel Osinenko (J. Intell. Manuf., 2024)

On the RANSAC Performance for Quadric Surfaces in Noisy Conditions. - Ilya Ryakin; Sina Moghimi; Vladimir Guneavoy; Sergei Davidenko; Mikhail Patrikeev; Ilya Osokin; Pavel Osinenko (IEEE Access, 2025)

Some Remarks on Practical Stabilization via CLF-Based Control Under Measurement Noise. - Patrick Schmidt; Pavel Osinenko; Stefan Streif (IEEE Access, 2025)

Machine Learning-Based Classification of Suspension Droplet-Solid Wall Impacts for Control of Droplet Fragmentation. - Mikhail Vulf; Dmitry Zharikov; Dmitry Kolomenskiy; Dmitry Eskin; Pavel Osinenko (IEEE Access, 2025)

Generating Informative Benchmarks for Reinforcement Learning. - Grigory Yamerenko; Sinan Ibrahim; Francisco Moreno-Mora; Pavel Osinenko; Stefan Streif (IEEE Control. Syst. Lett., 2025)

Quadrupedal Robot Skateboard Mounting via Reverse Curriculum Learning. - Danil Belov; Artem Erkhov; Elizaveta P. Grakhova; Ilya Osokin; Dzmitry Tsetserukou; Pavel Osinenko (CoRR, 2025)

Multi-CALF: A Policy Combination Approach with Statistical Guarantees. - Georgiy Malaniya; Anton Bolychev; Grigory Yaremenko; Anastasia Krasnaya; Pavel Osinenko (CoRR, 2025)

A universal policy wrapper with guarantees. - Anton Bolychev; Georgiy Malaniya; Grigory Yaremenko; Anastasia Krasnaya; Pavel Osinenko (CoRR, 2025)

Adaptive MPC-based quadrupedal robot control under periodic disturbances. - Elizaveta P. Grakhova; Ilya Osokin; Danil Belov; Pavel Osinenko (CoRR, 2025)

Some remarks on stochastic converse Lyapunov theorems. - Pavel Osinenko; Grigory Yaremenko (CoRR, 2025)

SwarnRaft: Leveraging Consensus for Robust Drone Swarm Coordination in GNSS-Degraded Environments. - Kapel Dev; Yash Madhwal; Sofia Shevelo; Pavel Osinenko; Yury Yanovich (CoRR, 2025)