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Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems: Analytical and Soft Computing Approaches: Lecture Notes in Electrical Engineering, cartea 266

Autor Marcin Witczak
en Limba Engleză Hardback – 30 dec 2013
This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models.
This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science, as well as mechanical and chemical engineering.
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Specificații

ISBN-13: 9783319030135
ISBN-10: 3319030132
Pagini: 248
Ilustrații: XVI, 229 p. 117 illus.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.53 kg
Ediția:2014
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Part I Robust fault diagnosis.- Part II Integrated fault diagnosis and control.

Textul de pe ultima copertă

 
This book presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework. In particular, starting from advanced state estimation strategies up to modern soft computing, the discrete-time description of the system is employed Part I of the book presents original research results regarding state estimation and neural networks for robust fault diagnosis. Part II is devoted to the presentation of integrated fault diagnosis and fault-tolerant systems. It starts with a general fault-tolerant control framework, which is then extended by introducing robustness with respect to various uncertainties. Finally, it is shown how to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models.
This research monograph is intended for researchers, engineers, and advanced postgraduate students in control and electrical engineering, computer science,as well as mechanical and chemical engineering.

Caracteristici

Presents selected fault diagnosis and fault-tolerant control strategies for non-linear systems in a unified framework Starts from advanced state estimation strategies up to modern soft computing by employing Show to implement the proposed framework for fuzzy systems described by the well-known Takagi–Sugeno models Includes supplementary material: sn.pub/extras