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An introduction to data-driven contr...

Khaki-Sedigh, Ali.

An introduction to data-driven control systems /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to data-driven control systems // Ali Khaki-Sedigh.
Author:	Khaki-Sedigh, Ali.
Published:	Hoboken, NJ :John Wiley & Sons ; : c2024.,
Description:	xviii, 366 p. :ill. ; : 24 cm.;
Subject:	Automatic control - Data processing. -

An introduction to data-driven control systems /
Khaki-Sedigh, Ali.

An introduction to data-driven control systems /Ali Khaki-Sedigh. - Hoboken, NJ :John Wiley & Sons ;c2024. - xviii, 366 p. :ill. ;24 cm.

Includes bibliographical references and index.

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.

NT4132Subjects--Topical Terms:

970590
Automatic control
--Data processing.

LC Class. No.: TJ213 / .K43 2024

Dewey Class. No.: 629.8 / K45 2024

An introduction to data-driven control systems /
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245 1 3 $a An introduction to data-driven control systems / $c Ali Khaki-Sedigh.
260 # $a Hoboken, NJ : $b John Wiley & Sons ; $a Piscataway, NJ : $b IEEE, $c c2024.
300 $a xviii, 366 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and index.
520 # $a 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.
650 # 0 $a Automatic control $x Data processing. $3 970590