Konstantin Lastochkin
Star Center, V. A. Trapeznikov Institute of Control Sciences
Papers
3
Total Citations
25
H-Index
3
About
Konstantin Lastochkin is a robotics and control systems researcher whose work centers on the stabilization and optimal control of two-wheeled balancing robots—a classic yet challenging problem in nonlinear dynamics. His major contributions include developing neural network controllers with online training capabilities, which enable real-time adaptation for maintaining robot equilibrium. In his 2018 paper, cited 11 times, he constructed a mathematical model using differential equations and state-space representation, then applied PID and LQR controllers to solve the stabilization problem. His 2019 follow-up, with 9 citations, advanced the field by comparing approximate and partial feedback linearization methods for plants with internal dynamics, offering practical insights for control system design. More recently, in 2024, Lastochkin has tackled a fundamental theoretical challenge: monotonous parameter estimation for a class of nonlinearly parameterized regressions without overparameterization, achieving 5 citations. This work bridges control theory and system identification, demonstrating his versatility. His research is particularly valuable for students and engineers working on autonomous mobile robots, offering both practical controller designs and rigorous analytical methods for nonlinear systems.
Research Focus
Key Achievements
Top Papers
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