Papers
29
Total Citations
284
H-Index
11
About
Alexey Bobtsov is a prominent Russian control systems researcher whose work spans adaptive control theory, robotics, and nonlinear systems, with a particular emphasis on bridging theoretical advances with real-world engineering applications. Based at ITMO University, Bobtsov has made significant contributions to output stabilization methods for nonlinear systems with time-varying delays, developing rigorous frameworks for absolute stability analysis that address complex feedback configurations. His research on adaptive control has pushed the field forward, notably through relaxed excitation conditions for parameter convergence — a critical challenge in building robust autonomous systems — and through innovative parameterisation techniques for Euler–Lagrange systems that dramatically simplify controller design for multi-degree-of-freedom robot manipulators. Bobtsov's applied work is equally impressive, encompassing adaptive control for quadrotors with robotic arms, dynamic positioning of autonomous marine vessels, and industrial robotic automation developed through university-industry collaboration. His commitment to education is evident in his widely cited use of LEGO Mindstorms NXT platforms to teach adaptive control fundamentals. Collectively, his papers have accumulated nearly 180 citations, reflecting sustained influence across control engineering communities. His career exemplifies a rare and valuable integration of rigorous mathematical theory with impactful, hands-on robotics and automation research.
Research Focus
Key Achievements
Top Papers
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- 3Learning from adaptive control under relaxed excitation conditions21 citations · 2019
- 4Human-free robotic automation of industrial operations17 citations · 2016
- 5
- 6Adaptive control system for quadrotor equiped with robotic arm16 citations · 2014
- 7Output robust control with anti-windup compensation for robotic boat14 citations · 2016
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- 10Simple Output Stabilization Approach for Robotic Systems11 citations · 2013