Recent developments in model-based and data-driven methods for advanced control and diagnosis / Didier Theilliol, Józef Korbicz, Janusz Kacprzyk, editors.
Theilliol, Didier, editor.; Korbicz, Józef, editor.; Kacprzyk, Janusz, editor.
2023
QA402.3
Available Online

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Title
Recent developments in model-based and data-driven methods for advanced control and diagnosis / Didier Theilliol, Józef Korbicz, Janusz Kacprzyk, editors.
ISBN
9783031275401 (electronic bk.)
3031275403 (electronic bk.)
9783031275395
303127539X
DOI
https://doi.org/10.1007/978-3-031-27540-1
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (x, 365 pages) : illustrations (chiefly color).
Item Number
10.1007/978-3-031-27540-1 doi
Call Number
QA402.3
Dewey Decimal Classification
515/.642
Summary
The book consists of recent works on several axes either with a more theoretical nature or with a focus on applications, which will span a variety of up-to-date topics in the field of systems and control. The main market area of the contributions include: Advanced fault-tolerant control, control reconfiguration, health monitoring techniques for industrial systems, data-driven diagnosis methods, process supervision, diagnosis and control of discrete-event systems, maintenance and repair strategies, statistical methods for fault diagnosis, reliability and safety of industrial systems artificial intelligence methods for control and diagnosis, health-aware control design strategies, advanced control approaches, deep learning-based methods for control and diagnosis, reinforcement learning-based approaches for advanced control, diagnosis and prognosis techniques applied to industrial problems, Industry 4.0 as well as instrumentation and sensors. These works constitute advances in the aforementioned scientific fields and will be used by graduate as well as doctoral students along with established researchers to update themselves with the state of the art and recent advances in their respective fields. As the book includes several applicative studies with several multi-disciplinary contributions (deep learning, reinforcement learning, model-based/data-based control etc.), the book proves to be equally useful for the practitioners as well industrial professionals.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 21, 2023).
Added Author
Theilliol, Didier, editor.
Korbicz, Józef, editor.
Kacprzyk, Janusz, editor.
Series
Studies in systems, decision and control ; v. 467. 2198-4190
Available in Other Form
Print version: 9783031275395
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