An Introduction to Data-Driven Control Systems
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Sprache:Englisch
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eBook Format:PDF
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Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
08.11.2023
Verlag
WileySeitenzahl
(Printausgabe)
Dateigröße
9005 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781394196418
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.
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.
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