An Introduction to Data-Driven Control Systems

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.

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.