In this article, an echo state network (ESN)-based backstepping adaptive iterative learning
control scheme is proposed for nonlinear strict-feedback systems performing the same …

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 proposes adaptive iterative learning control (ILC) schemes for continuous-time
parametric nonlinear systems with iteration lengths that randomly vary. As opposed to the …

This article considers iterative learning control (ILC) for a class of discrete-time systems with
full learnability and unknown system dynamics. First, we give a framework to analyze the …

This paper proposes two novel improved iterative learning control (ILC) schemes for
systems with randomly varying trial lengths. Different from the existing works on ILC with …

In this paper, the finite‐time asymmetric bipartite consensus problem of multi‐agent systems
with signed digraph is considered. Firstly, an asymmetric index is introduced to describe a …

This paper proposes an iterative learning control (ILC) algorithm with gain adaptation for
discrete-time stochastic systems. The algorithm is based on Kesten's accelerated stochastic …

In this work, we propose a novel iterative learning control algorithm to deal with a class of
nonlinear systems with system output constraint requirements and quantization effects on …

This paper studies the quantized iterative learning control with encoding–decoding
mechanism of a class of impulsive differential inclusion systems with random data dropouts …

In practical applications, due to the limited communication bandwidth, the network control
systems (NCSs) are prone to data dropouts when the load is high. In this paper, the problem …