Authors:
- Equips the reader to solve problems in a wide class of nonlinear systems
- Provides opportunities for practice and experience with examples of robust and fault-tolerant control
- Allows the reader easy access to the uses of artificial neural networks in nonlinear control synthesis with a concise review
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 197)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
- a comprehensive review of neural network architectures with possible applications in system modelling and control;
- a concise introduction to robust and fault-tolerant control;
- step-by-step presentation of the control approaches proposed;
- an abundance of case studies illustrating the important steps in designing robust and fault-tolerant control; and
- a large number of figures and tables facilitating the performance analysis of the control approaches described.
The material presented in this book will be useful for researchers and engineers who wish to avoid spending excessive time in searching neural-network-based control solutions. It is written for electrical, computer science and automatic control engineers interested in control theory and their applications. This monograph will also interest postgraduate students engaged in self-study of nonlinear robust and fault-tolerant control.
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Authors and Affiliations
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Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland
Krzysztof Patan
About the author
Bibliographic Information
Book Title: Robust and Fault-Tolerant Control
Book Subtitle: Neural-Network-Based Solutions
Authors: Krzysztof Patan
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-11869-3
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-11868-6Published: 26 March 2019
eBook ISBN: 978-3-030-11869-3Published: 16 March 2019
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XXVIII, 209
Number of Illustrations: 93 b/w illustrations, 25 illustrations in colour
Topics: Control and Systems Theory, Artificial Intelligence, Industrial Chemistry/Chemical Engineering, Automotive Engineering, Aerospace Technology and Astronautics