Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems

Analytical and Soft Computing Approaches

Nonfiction, Science & Nature, Technology, Automation, Computers, Advanced Computing, Artificial Intelligence
Cover of the book Fault Diagnosis and Fault-Tolerant Control Strategies for Non-Linear Systems by Marcin Witczak, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Marcin Witczak ISBN: 9783319030142
Publisher: Springer International Publishing Publication: December 11, 2013
Imprint: Springer Language: English
Author: Marcin Witczak
ISBN: 9783319030142
Publisher: Springer International Publishing
Publication: December 11, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Smart Homes and Their Users by Marcin Witczak
Cover of the book Designing with Computational Intelligence by Marcin Witczak
Cover of the book Advances in Audio Watermarking Based on Singular Value Decomposition by Marcin Witczak
Cover of the book Duality Theories for Boolean Algebras with Operators by Marcin Witczak
Cover of the book Introduction to the Analytic Hierarchy Process by Marcin Witczak
Cover of the book Smart TV Security by Marcin Witczak
Cover of the book The Chickpea Genome by Marcin Witczak
Cover of the book Youth Subcultures in Fiction, Film and Other Media by Marcin Witczak
Cover of the book Distributed, Ambient and Pervasive Interactions by Marcin Witczak
Cover of the book Electromagnetic Fields and Waves by Marcin Witczak
Cover of the book Guanidines as Reagents and Catalysts I by Marcin Witczak
Cover of the book Radio Frequency Multiple Access Techniques Made Easy by Marcin Witczak
Cover of the book Robust Resource Allocation in Future Wireless Networks by Marcin Witczak
Cover of the book Trick or Truth? by Marcin Witczak
Cover of the book Teaching Postdramatic Theatre by Marcin Witczak
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy