Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2023-06-13

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Description

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.
Pages
365 pages
Collection
Studies in Systems, Decision and Control
Parution
2023-06-13
Marque
Springer
EAN papier
9783031275395
EAN PDF
9783031275401

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
12216 Ko
Prix
231,04 €
EAN EPUB
9783031275401

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
36
Taille du fichier
49644 Ko
Prix
231,04 €