Non-holonomic model-based predictive output tracking of an unknown three-dimensional trajectory
We present a control strategy to track a target trajectory in space with a non-holonomic vehicle. Only noisy, point-wise measurements of the target are available at each time, so that no global optimality can be achieved. Instead, we propose a causal, predictive output-feedback control strategy based upon the recursive approximation of the target with feasible system trajectories.