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 …

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 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 …

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 …

A data-driven distributed formation control algorithm is proposed for an unknown
heterogeneous non-affine nonlinear discrete-time MIMO multi-agent system (MAS) with …

In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual
successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the …

In this article, a model-free adaptive control (MFAC) algorithm based on full form dynamic
linearization (FFDL) data model is presented for a class of unknown multi-input multi-output …

The consensus tracking and containment control problems of multiple-input and multiple-
output (MIMO) nonaffine nonlinear multiagent systems (MASs) are studied in this article …

To tackle the trajectory tracking problem and achieve high control accuracy in many actual
nonlinear systems with unknown dynamics, a novel prescribed performance based model …