A TC-MPC framework with KF-based moment prediction is developed for IBVS of UAVs to guarantee stability under input/state constraints and maintain control during short visual feature loss.
Experimental validation of dynamic visual servo- ing for a quadrotor using a virtual camera
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Terminal Constraint Model Predictive Control for Image-Based Visual Servoing of UAVs with Kalman Filter-Based Moment Loss Compensation
A TC-MPC framework with KF-based moment prediction is developed for IBVS of UAVs to guarantee stability under input/state constraints and maintain control during short visual feature loss.