Data-Driven Control Design for Complex Systems: Theory, Challenges, and Novel Applications

Abstract

This paper examines the switch from model-based to data-driven control systems, providing an overview of the challenges encountered and the potential solutions. It reviews the history, current progress, and future perspectives of data-driven control technologies. Additionally, it outlines the differences between model-based and data-driven control, compares various data-driven control approaches, and addresses essential issues in data-driven optimization. Finally, the paper delves into the data-driven control process and related research areas.

Keywords

• model-based control
• data-driven control
• classification
• optimization