Alexey Vedyakov
Papers
6
Total Citations
42
H-Index
4
About
Alexey Vedyakov’s research sits at the intersection of adaptive control theory and robotics education, with a particular focus on the challenging problem of tracking unknown multi-sinusoidal signals. His most impactful work, an adaptive tracking system for multisinusoidal signals with input delay (13 citations), addresses a fundamental control problem where plant parameters are known but the signal is unknown. He significantly advanced this area by applying the dynamic regressor extension and mixing (DREM) method for fast online frequency estimation (10 citations), demonstrating how to increase performance in multiple frequency estimation tasks. Beyond theoretical contributions, Vedyakov has made notable strides in engineering education, developing practical laboratory tasks for manipulator control as part of ITMO University’s master’s program. He has also championed innovative educational technologies, including module-based learning, project-based bachelor’s programs, and academia-industry collaboration tracks. His work on the “Robodrom” arena—a gamified platform for studying remote and networked control—exemplifies his commitment to preparing students for modern technical challenges. With additional contributions to dynamic positioning systems for marine vessels, Vedyakov’s research portfolio bridges sophisticated control theory with real-world applications and pedagogical innovation.
Research Focus
Key Achievements
Top Papers
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- 3Manipulation Tasks in Robotics Education7 citations · 2016
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