Andrei Prepelita
Papers
1
Total Citations
2
H-Index
1
About
Andrei Prepelita is a control systems researcher whose work bridges theoretical modeling and practical robotics, with a particular focus on the stabilization of inverted pendulum systems. His most cited paper, "Two wheels lego mindstorms balancing control based on discrete time delta representation" (2017), demonstrates his ability to translate complex mathematical concepts into tangible, educational platforms. In this work, Prepelita derived a linearized state-space model from inverted pendulum equations, using real parameter values for a Lego Mindstorms robot, and converted it into a discrete-time delta representation for effective digital control. This approach not only provided a robust framework for balancing two-wheeled robots but also made advanced control theory accessible to students and hobbyists through low-cost hardware. While his citation count is modest, the paper’s impact lies in its pedagogical value and practical implementation, offering a clear pathway from theory to real-world application. Prepelita’s work exemplifies how rigorous control design can be democratized, inspiring future engineers to explore nonlinear dynamics and embedded systems. His research continues to contribute to the fields of mechatronics and educational robotics.
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Top Papers
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