M. Navabi

Papers

Total Citations

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About

M. Navabi’s research centers on advanced control systems for aerospace and robotic platforms, with a particular focus on adaptive and optimal control strategies for under-actuated and space-based systems. Their most cited work, “Trajectory tracking of under-actuated quadcopter using Lyapunov-based optimum adaptive controller” (2021, 25 citations), introduces a novel adaptive sliding mode controller optimized by particle swarm optimization to address trajectory tracking challenges in quadcopters, effectively managing nonlinear, coupled dynamics and parameter uncertainties. This contribution is significant for enhancing the autonomy and robustness of unmanned aerial vehicles. Earlier, in “Attitude adaptive control of space systems” (2013, 16 citations), Navabi developed an adaptive control scheme for space robot systems with attitude-controlled bases, deriving kinematic and dynamic equations from Lagrangian mechanics and momentum conservation. This work advances the precision and adaptability of robotic manipulators in space environments. With a cumulative citation impact exceeding 40, Navabi’s research bridges theoretical control design and practical aerospace applications, offering valuable insights for students and researchers in nonlinear control, robotics, and autonomous systems.