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 …

摘要给出了数据驱动控制理论和方法相关问题的定义, 从控制理论, 实际应用和历史发展趋势三
个角度阐述了数据驱动控制的存在背景, 说明了数据驱动控制理论和方法的适用条件 …

This literature review extends and contributes to research on the development of data-driven
optimal control. Previous reviews have documented the development of model-based and …

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 …

During the past half century, modern control theory has developed greatly and many
branches and subfields have emerged, for example, linear system theory, optimal control …

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 …

Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

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

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