Papers
7
Total Citations
24
H-Index
3
About
Alexander Protsenko is an emerging robotics and control systems researcher whose work centers on fault detection, identification, and tolerant control for robotic systems — particularly underwater vehicles and robotic manipulators. His research addresses one of the most pressing challenges in autonomous robotics: maintaining reliable operation in the presence of hardware faults and unpredictable disturbances. Protsenko's most significant contributions lie in developing sliding mode observers for fault identification in electric servo actuators governed by nonstationary nonlinear dynamic models, work that has garnered 6 citations since 2022. Alongside this, his three-stage framework for fault accommodation in underwater robot thrusters — spanning detection, estimation, and compensation — has established a coherent methodological thread across multiple publications from 2021 through 2024, collectively accumulating over a dozen citations. Notably, he has pioneered the integration of stereo vision and diagnostic observers for manipulator fault detection, broadening the toolkit available to robotics engineers. His 2024 contributions, including adaptive fault-tolerant thruster control and an optimal astatic observer for disturbance identification in nonlinear systems, demonstrate a researcher steadily deepening theoretical foundations while maintaining strong practical relevance. For students working in robotics reliability, autonomous underwater vehicles, or nonlinear control theory, Protsenko's growing body of work offers both rigorous methodologies and concrete implementation strategies.
Research Focus
Key Achievements
Top Papers
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- 2Fault Tolerant Control in Underwater Vehicles5 citations · 2024
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