A new approach to finite-time tracking of coupled continuous networks

In this paper, a new approach based on the iterative learning control (ILC) is proposed for finite-time tracking of coupled continuous networks. The proposed ILC tracking approach makes use of instantaneous sampled-data. By virtue of the Bellman-Gronwall Lemma, it is shown that the instantaneous sampled-data based ILC approach can achieve the tracking of coupled continuous networks in a finite-time interval. Computer simulations are presented to demonstrate the good finite-time tracking performance of the proposed ILC approach.