Fault Diagnosis Inverse Problems: Solution with Metaheuristics
This book presents a methodology based on inverse problems for use in solutions for fault diagnosis in control systems, combining tools from mathematics, physics, computational and mathematical modeling, optimization and computational intelligence. This m
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Lídice Camps Echevarría Orestes Llanes Santiago Haroldo Fraga de Campos Velho Antônio José da Silva Neto
Fault Diagnosis Inverse Problems: Solution with Metaheuristics
Studies in Computational Intelligence Volume 763
Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected]
About this Series The series “Studies in Computational Intelligence” (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output.
More information about this series at http://www.springer.com/series/7092
Lídice Camps Echevarría • Orestes Llanes Santiago Haroldo Fraga de Campos Velho Antônio José da Silva Neto
Fault Diagnosis Inverse Problems: Solution with Metaheuristics
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Lídice Camps Echevarría Centro de Estudios de Matemática Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE Marianao, La Habana, Cuba
Orestes Llanes Santiago Dpto. de Automática y Computación Universidad Tecnológica de La Habana José Antonio Echeverría, CUJAE Marianao, La Habana, Cuba
Haroldo Fraga de Campos Velho National Institute for Space Research, INPE São José dos Campos São Paulo, Brazil
Antônio José da Silva Neto Instituto Politécnico Universidade do Estado do Rio de Janeiro, UERJ Nova Friburgo, Rio de Janeiro, Brazil
ISSN 1860-949X ISSN 1860-9503 (electronic) Studies in Computational Intelligence ISBN 978-3-319-89977-0 ISBN 978-3-319-89978-7 (eBook) https://doi.org/10.1007/978-3-319-89978-7 Library of Congress Control Number: 2018940773 © Springer International Publishing AG, part of Springer Nature 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant
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