An Introduction To Data Driven Control Systems
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An Introduction to Data-Driven Control Systems
Author: Ali Khaki-Sedigh
language: en
Publisher: John Wiley & Sons
Release Date: 2023-11-30
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.
Data-Driven Science and Engineering
Author: Steven L. Brunton
language: en
Publisher: Cambridge University Press
Release Date: 2022-05-05
A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Control Systems: A Historical and Philosophical Perspective
This book offers an exploration of the historical and philosophical aspects of the field of control systems engineering. By examining the historical and philosophical underpinnings of control systems, this book provides a holistic understanding of the challenges faced by control engineers and the need for a multidisciplinary approach. Written for engineers, scientists, and students, this book delves into the evolution of control systems theories from ancient times to the present day, highlighting the key contributions of influential thinkers and innovators. The book also explores how philosophical concepts, such as induction, falsification, and process philosophy, have shaped our understanding of control systems. The book's unique approach combines historical narratives with philosophical perspectives to provide a deeper understanding of the field. By examining the historical development of control systems, you will gain insight into the motivations and technological constraints that have influenced the evolution of control systems analysis and design methodologies. From the early applications of automation to modern and postmodern control systems, which rely on sophisticated algorithms and artificial intelligence, this book provides a comprehensive understanding of the field's progress. The book concludes by examining the future of control systems through the perspectives of leading control scientists and engineers. This comprehensive approach will equip the reader with a deeper understanding of the field to tackle complex problems in control systems analysis and design.