V. I. Shiryaev
Papers
2
Total Citations
6
H-Index
1
About
V. I. Shiryaev is a researcher focused on the control and stabilization of robotic manipulators, particularly under conditions of incomplete information and dynamic uncertainty. His work centers on applying Lyapunov’s direct method to synthesize adaptive control algorithms that ensure both stability and dissipativity across the entire phase space of robotic systems. In his most cited paper (2018, 5 citations), Shiryaev derives a control algorithm that guarantees robust trajectory tracking for robotic manipulators, addressing fundamental challenges in nonlinear dynamics and system stability. A subsequent study (2020, 1 citation) extends this framework by integrating predictive model control into the digitalization of industrial production, proposing solutions for processing manipulators operating with limited sensory data. Though his citation counts are modest, Shiryaev’s contributions are significant within the niche of Lyapunov-based adaptive control for robotics, offering mathematically rigorous approaches to real-world automation challenges. His work is particularly relevant for researchers developing stable, reliable control systems for industrial robots in uncertain environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2