  Building on our previous work, this paper investigates the effectiveness of
interpolating control (IC) for real-time trajectory tracking. Unlike prior
studies that focused on trajectory tracking itself or UAV stabilization control
in simulation, we evaluate the performance of a modified extended IC (eIC)
controller compared to Model Predictive Control (MPC) through both simulated
and laboratory experiments with a remotely controlled UAV.
  The evaluation focuses on the computational efficiency and control quality of
real-time UAV trajectory tracking compared to previous IC applications. The
results demonstrate that the eIC controller achieves competitive performance
compared to MPC while significantly reducing computational complexity, making
it a promising alternative for resource-constrained platforms.
