Papers
1
Total Citations
7
H-Index
1
About
Ervan Kassarian is a researcher whose work bridges the frontiers of multibody dynamics and robust control theory. His primary research focuses on the modeling and analysis of complex mechanical systems, particularly through the lens of linear parameter-varying (LPV) and linear fractional transformation (LFT) frameworks. Kassarian’s most notable contribution is a novel approach for modeling uncertain multibody dynamics around parameter-dependent equilibria, which he detailed in his 2022 paper. This work offers a significant methodological advance by circumventing the traditional, computationally expensive process of building full nonlinear models before linearization. Instead, his LFT-based method directly incorporates parametric uncertainties, enabling more efficient and robust control design for systems like flexible robots or vehicles. While his career is still in its early stages, with his key paper garnering 7 citations, this work has already established a foundation for future research in the field. Kassarian’s contributions are particularly valuable for engineers and researchers seeking to develop high-performance controllers for systems whose dynamics shift with operating conditions, marking him as an emerging talent in the intersection of dynamics and control.
Research Focus
Key Achievements
Top Papers
- 1