… monotonically convergent ILC (NMC-ILC) in this paper. The proposed NMC-ILC is an
optimization-based control … Wen, “A robust adaptive iterative learning control for trajectory tracking …

… robust, monotonically-convergent it- ative learning controllers for discrete-time systems.
Iterative learning control … for systems that operate in an iterative or repetitive fashion (eg , robot …

… a less conservative robust monotonic convergent NO-ILC … with the qualitative understanding
of the robustness of NO-ILC; … to design or tune a robust monotonic convergent NO-ILC is a …

… robustness of a gradient-based iterative learning control (ILC) algorithm using both fixed
learning … will show that the proposed gradient-based algorithm is robust monotone convergent if …

… Robust monotonic convergence objective In this section, the concept of robust monotonic
convergence of ILC for uncertain systems is introduced, based on the ILC control framework …

… This work investigates robust monotonic convergent iterative learning control (ILC) for uncertain
linear … First, it is shown that the robust monotonic convergence of the ILC system can be …

… learning gain is multiplied by this function, the convergence of the tracking error norms is
monotonic… The paper 30 provided a complete analysis of the robust monotonic convergence of …

… λ, in particular with λ=0 which is essentially the supreme norm, we show the global uniform
bound of the tracking error in iteration domain, as well as the monotonic convergent interval. …

… Algebraic derivation demonstrates that the HOGAILC is strictly monotonously convergent. …
-scheme is strictly monotonically convergent and thus the HOGAILC mechanism is robust to a …

… the spatial iterative learning control (SILC) strategy to close the loop in the iteration domain
… frequency-domain representations of spatial iterative learning control (SILC) introduced in [12…