Name: Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis (en Inglés)
Price: 240.52 USD
Availability: InStock
Author: Theilliol, Didier ; Korbicz, Józef ; Kacprzyk, Janusz
ISBN: 9783031275395

portada Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis (en Inglés)

Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Theilliol, Didier ; Korbicz, Józef ; Kacprzyk, Janusz

Idioma

Inglés

N° páginas

365

Encuadernación

Tapa Dura

Dimensiones

23.6 x 15.8 x 2.6 cm

Peso

0.77 kg.

ISBN13

9783031275395

Categorías

Ingeniería: general
Ingeniería eléctrica
Ingeniería de control automático

Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis (en Inglés)

Theilliol, Didier ; Korbicz, Józef ; Kacprzyk, Janusz (Autor) · Springer · Tapa Dura

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Reseña del libro "Recent Developments in Model-Based and Data-Driven Methods for Advanced Control and Diagnosis (en Inglés)"

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.