Papers
6
Total Citations
54
H-Index
4
About
Stanislav Aranovskiy is a control systems researcher whose work sits at the intersection of adaptive signal processing and robotic stabilization. His primary research areas include adaptive tracking of multisinusoidal signals, observer design for mechanical systems, and the dynamic stabilization of inverted pendulums—the latter serving as a simplified model for legged robot locomotion. Aranovskiy’s most cited paper (13 citations) tackles the challenging problem of adaptive tracking of unknown multisinusoidal signals under known input delay, demonstrating robust performance with full plant knowledge. He has made significant contributions to velocity observer design, notably through an experimental comparison of velocity observers using a scissored pair control moment gyroscope (12 citations), and through a linear observer for a reaction wheel inverted pendulum with biased angle measurements (12 citations). His work on the DREM-based parameter estimation approach (10 citations) advanced fast online frequency estimation for multisinusoidal tracking. More recently, Aranovskiy has explored bias propagation in homogeneous differentiators for mechanical systems, addressing critical issues in sensor bias for reaction wheel pendulums. His research, supported by the Russian Government and Ministry of Education, provides practical foundations for non-anthropomorphic stabilization in walking robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Observer Design for an Inverted Pendulum with Biased Position Sensors12 citations · 2019
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- 5Scissored pair control moment gyroscope inverted pendulum4 citations · 2021
- 6