Iterative Learning Model Predictive Control Approaches for Trajectory Based Aircraft Operation with Controlled Time of Arrival

Iterative learning heterogeneous trajectory tracking for partially interdependent networks

“…This control scheme has a great practical significance in dealing with systems having nonlinear coupling, high complexity, difficulty in modeling, and highprecision tracking. [19][20][21][22][23][24] Based on the iterative learning control scheme, Riel et al 20 investigated the tracking accuracy of an optical telescope system used for satellite tracking and laser ranging applications. Bu et al 22 proposed a distributed model-free adaptive iterative learning control method for the multiagent systems with fixed or iteration-varying topologies to perform consensus tracking.…”

“…Bu et al 22 proposed a distributed model‐free adaptive iterative learning control method for the multiagent systems with fixed or iteration‐varying topologies to perform consensus tracking. Jiang et al 24 proposed an iterative learning model predictive control approaches to resolve the control problem of trajectory‐based aircraft operation with time‐of‐arrival constraint.…”

“…The iterative learning control was first proposed by Uchiyama in 1978 and introduced by Arimoto et al 18 in 1984. This control scheme has a great practical significance in dealing with systems having nonlinear coupling, high complexity, difficulty in modeling, and high‐precision tracking 19–24 . Based on the iterative learning control scheme, Riel et al 20 investigated the tracking accuracy of an optical telescope system used for satellite tracking and laser ranging applications.…”