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This paper presents feedback-aided iterative learning control strategies for linear time-invariant systems. Sufficient conditions of convergence of the feedback-aided PD-type learning algorithm are derived, and the converged output trajectory is given. The initial rectifying action is applied to eliminate the effect of initial shifts. It is shown that the system output converges to the desired one...
This paper presents an iterative learning control scheme for linear systems in the presence of a fixed initial state shift between iterative initial state and the desired one. The finite-time control strategies are adopted in the design of iterative learning controllers, and feedback-aided strategies are applied as well. The sufficient conditions for convergence of the learning control algorithms...
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