Iterative Learning Control for Linear Fractional-Order Distributed Parameter Systems with Variable Tracking Trajectory

This paper studies the problem of iterative learning control for a linear fractional-order distributed parameter systems with variable tracking trajectory. An improved P-type updating control law is employed to estimate the spatial-temporal varying curve surface iteratively. Then, the sufficient conditions of convergence for output error of the system in the sense of
$L_{2}$
norm has been revised through rigorous analysis. The numerical results show the effectiveness of the proposed ILC scheme.