Adaptive and iterative control algorithms based on explicit criterion minimization are briefly
reviewed and an overview of one such algorithm, iterative feedback tuning (IFT), is …

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 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 …

We have examined an optimization approach to iterative control design. The important
ingredient is that the gradient of the design criterion is computed from measured closed loop …

The links between identification and control are examined. The main trends in this research
area are summarized, with particular focus on the design of low complexity controllers from a …

Extremum seeking (ES) tunes PID controllers by minimizing a cost function that
characterizes the desired behavior of the closed-loop system. This tuning method is …

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 …

This paper introduces the virtual reference feedback tuning (VRFT) approach for controller
tuning in a nonlinear setup. VRFT is a data-based method that permits to directly select the …

A data-driven approach to control design has been developing, since the early 1990's, upon
the concepts and the methods of classical control theory; to this approach we refer as data …