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 …

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 …

The use of persistently exciting data has recently been popularized in the context of data-
driven analysis and control. Such data have been used to assess system-theoretic …

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 …

This paper considers the problem of designing a controller for an unknown plant based on
input/output measurements. The new design method we propose is direct (no model …

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 …

This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …

Data-Based Controller Design presents a comprehensive analysis of data-based control
design. It brings together the different data-based design methods that have been presented …