03287nam a22003854u 4500 10.1002/9781394196432 Wiley 20251030120313.0 cr nn 008mam|a 231113t2023||||xxu fs| |0|| 0|eng|| 9781394196432 electronic 10.1002/9781394196432 doi eng Khaki‐Sedigh, Ali aut 91850 An Introduction to Data‐Driven Control Systems [electronic resource] Ali Khaki‐Sedigh 1 Wiley 2023 Wiley 2023 384pp.; text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft PDF 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. Control Systems Technology 91457 Systems Engineering & Management Control Process & Measurements 91645 Control systems; controller design; data-driven control; model-based control design techniques; input-output estimates; adaptive control; systems behavior; philosophy of control systems design; unfalsified adaptive control; virtual reference feedback theory; Simultaneous Perturbation Stochastic Approximation; Willem's fundamental lemma; Koopman theory, model free adaptive control Printed edition: 9781394196401 https://doi.org/10.1002/9781394196432 Wiley Online Library https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394196432 Wiley Online Library Cover Image https://onlinelibrary.wiley.com/cms/asset/9d2b660f-7953-4e02-b82d-0adae23463e9/9781394196432.cover.gif Wiley Online Library 67116 67116