In this paper, a novel multidisciplinary design optimisation (MDO) algorithm is proposed,
which is named as the decomposition-based switching multi-objective whale optimiser …

This study explores the incorporation of time-varying sign gain into a parallel iterative
learning control (ILC) architecture, augmented by an expert system, to enhance the …

This paper aims to realise the robust output bipartite consensus for unknown heterogeneous
linear time-varying multiagent systems (MASs) subject to varying trial lengths, unknown …

The main objective of this work is to address the challenge of simultaneously ensuring
robustness and convergence performance in model‐free inversion‐based iterative learning …

This paper proposes a novel three-dimensional (3D) performance iterative learning control
(PILC) scheme on nonlinear systems for tracking varying-scale and morphologically similar …

In this paper, a hybrid-based model-free iterative learning control algorithm is proposed to
improve the robustness and convergence speed of model-free iterative learning control in …

In this paper, the framework of dissipativity-based iterative learning control for singular
systems (SSs) is established for the first time. Firstly, under the P-type learning algorithm, it …

Lateral vehicle dynamics control is important for autonomous driving. This paper presents a
data-driven design of model-referenced model-free control (DD-MR-MFC) based on an ultra …

Given the challenges associated with accurately modeling complex nonlinear systems with
time delays in industrial processes, this paper introduces an advanced model-free control …

Pneumatic muscle-driven systems are widely used to facilitate the rehabilitation of patients
with motor dysfunction. While iterative learning control algorithms address system …