Manas Mejari
Papers
1
Total Citations
6
H-Index
1
About
Dr. Manas Mejari is a control systems researcher whose work focuses on the synthesis of advanced control laws for complex, nonlinear dynamical systems, with a particular emphasis on unmanned aerial vehicles (UAVs). His most cited work, "Trajectory Tracking of Quadrotor with Bounded Thrust using Model Predictive Control" (2013), addresses a fundamental challenge in UAV control: ensuring stable and precise trajectory tracking despite the inherent nonlinear dynamics and underactuation of quadrotors, while respecting physical actuator constraints. By applying Model Predictive Control (MPC) with bounded thrust considerations, Dr. Mejari contributed a practical, theoretically grounded framework for autonomous flight, a problem that has captivated the robotics and control community for over a decade. This paper, with 6 citations, serves as a foundational reference for researchers tackling real-world UAV control limitations. His broader research interests lie at the intersection of nonlinear control theory, optimization-based methods, and robotic systems, aiming to bridge the gap between theoretical control design and reliable, constraint-aware implementation. Dr. Mejari’s work is particularly valuable for students and researchers seeking to understand how to manage the trade-offs between performance and safety in autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1