Olga G. Andrianova
Lomonosov Moscow State University, V. A. Trapeznikov Institute of Control Sciences
Papers
4
Total Citations
26
H-Index
3
About
Dr. Olga G. Andrianova is a leading researcher in advanced nonlinear control systems, with a primary focus on robust control for robotic manipulators and neural network-based identification. Her major contributions lie in the development of novel averaged sub-gradient (ASG) integral sliding mode (ISM) controllers, which effectively handle complex tracking problems—such as cueing end-effector acceleration in two-link robotic arms—while avoiding singularity conditions. This work, detailed in her most-cited paper (2022, 14 citations), demonstrates significant impact in improving robotic precision and stability. Dr. Andrianova has also pioneered the integration of control barrier Lyapunov functions (BLFs) with differential neural networks (DNNs) for state identification in systems with time-varying constraints (2023, 4 citations), advancing the field of adaptive control under safety-critical conditions. Her research on trajectory tracking using neural averaged subgradient control, which incorporates actuator power regulation and DC motor dynamics (2022, 3 citations), further showcases her ability to bridge theoretical control design with practical electromechanical systems. With a growing citation record and a focus on robust, singularity-free control, Dr. Andrianova’s work is essential for students and researchers in robotics, mechatronics, and nonlinear control theory.
Research Focus
Key Achievements
Top Papers
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