This paper is a brief survey on the existing problems and challenges inherent in model-
based control (MBC) theory, and some important issues in the analysis and design of data …

This paper proposes a distributed model free adaptive iterative learning control (MFAILC)
method for a class of unknown nonlinear multiagent systems to perform consensus tracking …

In this paper, a data-driven model-free adaptive control (MFAC) approach is proposed
based on a new dynamic linearization technique (DLT) with a novel concept called pseudo …

In this work, a novel data-driven control approach, model-free adaptive control, is presented
based on a new dynamic linearization technique for a class of discrete-time single-input and …

This paper investigates the data-driven consensus tracking problem for multiagent systems
with both fixed communication topology and switching topology by utilizing a distributed …

A new type of model free adaptive control (MFAC) method, including MFAC scheme designs
with the compact-form-dynamic-linearization-based controller (CFDLc) and partial-form …

In this article, a data-driven distributed leader–follower iterative learning consensus tracking
control approach is proposed for unknown repetitive nonlinear nonaffine discrete-time multi …

This paper presents a novel self-correction method of commutation point for high-speed
sensorless brushless dc motors with low inductance and nonideal back electromotive force …

This article reconsiders the data quantization problem in iterative learning control (ILC) for
nonlinear nonaffine systems from four aspects: 1) use of available additional control …

The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology has an impact on all …