V. A. Yakubovich

St Petersburg University, Polytec Research (Norway)

Papers

2

Total Citations

6

H-Index

2

About

V. A. Yakubovich’s research centers on control theory, particularly adaptive control and signal invariance for autonomous systems. His major contributions include developing a convenient parametrization of linear controllers that solve the signal invariance (disturbance cancellation) problem for MIMO plants, a framework he applied to trajectory tracking for non-holonomic wheeled robots. This work, detailed in his 2011 paper (3 citations), addresses the challenge of ensuring robust robot movement despite external disturbances. Earlier, in 1983, he explored adaptive control algorithms for robot locomotion (3 citations), laying groundwork for autonomous navigation. Though his citation counts are modest, his theoretical insights into controller design for non-holonomic systems have influenced subsequent research in robotics and control engineering. Yakubovich’s work bridges classical control theory and practical robotics, offering elegant solutions to trajectory steering and disturbance rejection—key problems in autonomous vehicle and mobile robot development. His contributions remain relevant for researchers tackling real-world motion control challenges.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Signal invariance and trajectory steering problem for an autonomous wheeled robot
3 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: St Petersburg University, Polytec Research (Norway)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago