Shivaraj Mohite
Papers
1
Total Citations
5
H-Index
1
About
Shivaraj Mohite is a control systems researcher whose work centers on advancing observer design for nonlinear dynamical systems. His primary research areas include nonlinear observer theory, linear matrix inequality (LMI) techniques, and robust control. Mohite's most notable contribution is a novel approach to designing observers for Lipschitz nonlinear systems, where he introduced a newly defined positive definite matrix multiplier into the LMI formulation. This innovation, presented in his 2022 paper "A New Matrix Multiplier-Based LMI Approach for Nonlinear Observers," offers a more flexible and potentially less conservative framework for ensuring observer convergence. While still early in his career, with this work accumulating 5 citations, the methodological significance lies in its ability to simplify the LMI conditions for Lipschitz systems, a common challenge in control engineering. His approach has been validated through numerical examples, including applications to flexible link systems, demonstrating practical relevance. Mohite's work contributes to the broader goal of making nonlinear observer design more systematic and computationally tractable, offering tools that could benefit fields ranging from robotics to aerospace engineering.
Research Focus
Key Achievements
Top Papers
- 1A New Matrix Multiplier-Based LMI Approach for Nonlinear Observers5 citations · 2022