This paper conducts a survey on iterative learning control (ILC) with incomplete information
and associated control system design, which is a frontier of the ILC field. The incomplete …

This paper contributes to a technical overview of recent progresses on stochastic iterative
learning control (ILC), where stochastic ILC implies the learning control for systems with …

Additive manufacturing (AM) is a set of manufacturing processes that have promise in the
production of complex, functional structures that cannot be fabricated with conventional …

Iterative learning model predictive control (ILMPC), endowed with the merits of iterative
learning control and model predictive control, has excellent abilities of disturbance rejection …

Disturbances in iterative learning control (ILC) may be amplified if these vary from one
iteration to the next, and reducing this amplification typically reduces the convergence …

This paper aims at developing chattering-free adaptive iterative learning for repetitive
attitude tracking tasks of spacecraft subject to initial state errors. Thanks to the proposed …

In this article, the robust trajectory tracking problem of iterative learning control (ILC) for
uncertain nonlinear systems is considered, and the effects from locally Lipschitz …

Multi-phase batch processes (MPBP) have the characteristics of nonlinearity and various
cases of switching, where the switching between two adjacent phases can be divided into …

In this paper, a new two‐dimensional (2D) fuzzy composite iterative learning fault‐tolerant
control strategy using a 2D Takagi‐Sugeno fuzzy model is proposed for batch processes …

Additive manufacturing (AM) systems use a layer-by-layer paradigm to build three-
dimensional structures. There are myriad of advantages to AM; however, challenges with …