Vladislav Petrov
Papers
2
Total Citations
20
H-Index
2
About
Vladislav Petrov is a control systems researcher specializing in the stabilization and optimal control of two-wheeled balancing robots, a class of inherently unstable, underactuated systems. His work bridges classical and modern control theory, with a focus on developing intelligent controllers that can maintain balance and trajectory in real time. In his most cited work (11 citations, 2018), Petrov developed a neural network controller with online training, deriving a mathematical model of the two-wheeled robot via differential equations and state-space representation, then using it to calculate PID and LQR controller parameters. He extended this in a 2019 study (9 citations) by comparing approximate and partial feedback linearization methods for plants with internal dynamics, offering a rigorous performance analysis for optimal control design. Petrov’s contributions are significant for robotics and mechatronics education and research, providing practical frameworks for nonlinear system control. His work is frequently referenced by engineers developing balancing robots, autonomous vehicles, and mobile platforms, demonstrating clear impact in applied control theory and intelligent systems.
Research Focus
Key Achievements
Top Papers
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