Kun-Hong Chen

Performance-driven selective high-order stochastic iterative learning control with probabilistic guarantees.

This paper develops a selective enhanced high-order SILC, in which historical tracking errors are treated as candidate learning data and are admitted only through a performance-driven probabilistic test, and the asymptotic convergence of the proposed method is proved.