15th European Workshop on Advanced Control and Diagnosis (ACD 2019) Proceedings of the Workshop Held in Bologna, Italy, on November 21–22, 2019

This book embodies the proceedings of the 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) held in Bologna, Italy, in November 2019. It features contributed and invited papers from academics and professionals specializing in an important aspect of control and automation. The book...

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Bibliographic Details
Other Authors: Zattoni, Elena (Editor), Simani, Silvio (Editor), Conte, Giuseppe (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Lecture Notes in Control and Information Sciences - Proceedings
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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520 |a This book embodies the proceedings of the 15th European Workshop on Advanced Control and Diagnosis (ACD 2019) held in Bologna, Italy, in November 2019. It features contributed and invited papers from academics and professionals specializing in an important aspect of control and automation. The book discusses current theoretical research developments and open problems and illustrates practical applications and industrial priorities. With a focus on both theory and applications, it spans a wide variety of up-to-date topics in the field of systems and control, including robust control, adaptive control, fault-tolerant control, control reconfiguration, and model-based diagnosis of linear, nonlinear and hybrid systems. As the subject coverage has expanded to include cyber-physical production systems, industrial Internet of Things and sustainability issues, some contributions are of an interdisciplinary nature, involving disciplines related to information and communications technology and environmental sciences. This book is a valuable reference for both academics and professionals working in the area of systems and control, with a focus on advanced control, automation, fault diagnosis and condition monitoring