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 …

The underground coal gasification (UCG) technology converts coal into product gas and
provides the option of environmentally and economically attractive coal mining. Obtained …

This paper studies the data-driven prescribed performance control (PPC) problem for a class
of discrete-time nonlinear systems in the presence of tracking error constraints. By using the …

This article studies the group coordinated control problem for distributed nonlinear
multiagent systems (MASs) with unknown dynamics. Cloud computing systems are …

In this study, a model-free adaptive predictive control (MFAPC) method is proposed for a
class of unknown nonlinear non-affine multiple-input and multiple-output (MIMO) systems …

In this work, a novel robust model‐free adaptive control (Ro‐MFAC) algorithm for a class of
unknown multiple‐input multiple‐output (MIMO) systems with measurement noise is …

In this article, we propose a data-driven iterative learning control (ILC) framework for
unknown nonlinear nonaffine repetitive discrete-time single-input–single-output systems by …

Underground coal gasification (UCG) is a clean coal mining technology without significant
environmental impacts. This technology can also be used in deep, hard-to-reach seams or …

This paper studies the prescribed performance tracking problem for nonlinear leader-
following multiagent systems by developing a data-driven cooperative adaptive sliding …