A.A. Bragina
Papers
3
Total Citations
8
H-Index
2
About
A.A. Bragina is a researcher focused on advancing the control of robotic manipulators, particularly under challenging conditions of incomplete information and external disturbances. Her work centers on applying Lyapunov’s direct method to synthesize adaptive and stable control algorithms, ensuring precise trajectory tracking for industrial robots. In her most cited paper (2018, 5 citations), she developed a control algorithm that guarantees system stability across the entire phase space and demonstrated dissipativity, a key contribution for robust robotic motion. Her earlier work (2016, 2 citations) tackled the synthesis of control for fully nonlinear dynamic systems under uncertainty, while her more recent research (2020, 1 citation) explores predictive model-based control to enhance digitalization in manufacturing. Though her citation counts are modest, Bragina’s contributions are foundational for improving the reliability and autonomy of robotic systems in real-world, unpredictable environments. Her dedication to solving complex control problems makes her work valuable for students and engineers seeking to understand Lyapunov-based methods in robotics.
Research Focus
Key Achievements
Top Papers
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