A brief overview on the model-based control and data-driven control methods is presented.
The data-driven equivalent dynamic linearization, as a foundational analysis tool of data …

This paper provides an overview of the recent developments in data-based techniques
focused on modern industrial applications. As one of the hottest research topics for …

This article addresses the distributed model-free adaptive control (DMFAC) problem for
learning nonlinear multiagent systems (MASs) subjected to denial-of-service (DoS) attacks …

In this paper, the main issues of model-based control methods are first reviewed, followed by
the motivations and the state of the art of the model-free adaptive control (MFAC). MFAC is a …

This paper addresses a flexible micro aerial vehicle (MAV) under spatiotemporally varying
disturbances, which is composed of a rigid body and two flexible wings. Based on …

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 studies the dynamic event-triggered model-free adaptive control (DET-MFAC)
problem for nonlinear cyber-physical systems (CPSs) subject to aperiodic denial-of-service …

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 …

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 article, we consider the cooperative tracking problem for a class of nonlinear
multiagent systems (MASs) with unknown dynamics under denial-of-service (DoS) attacks …