An introduction to the emerging dominant paradigm in control design

Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable.

An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm.

Readers will also find:

• An overview of philosophical-historical issues accompanying the emergence of data-driven control systems
• Design analysis of several conventional data-driven control systems design methodologies
• Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods

An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.

Table of Contents

Chapter 1 Introduction

Chapter 2 Philosophical Perspectives of the Paradigm Shift in Control Systems Design and the Re-Emergence of Data-Driven Control

Chapter 3 Unfalsified Adaptive Switching Supervisory Control

Chapter 4 Multi-Model Unfalsified Adaptive Switching Supervisory Control

Chapter 5 Data-Driven Control System Design Based on the Virtual Reference Feedback Tuning Approach

Chapter 6 The Simultaneous Perturbation Stochastic Approximation-Based Data-Driven Control Design

Chapter 7 Data-driven Control System Design Based on the Fundamental Lemma

Chapter 8 Koopman Theory and Data-driven Control System Design of Nonlinear Systems

Chapter 9 Model-free Adaptive Control Design

About the Author

Ali Khaki-Sedigh, PhD, is a Professor in the Electrical Engineering Department at K.N. Toosi University of Technology in Tehran, Iran. He has published extensively on multivariable and adaptive control, systems behavior prediction, and related subjects.