Studies in Computational Intelligence

Solution with Metaheuristics

By: LÃdice Camps EchevarrÃa, Orestes Llanes Santiago, Haroldo Fraga de Campos Velho

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Hardcover | 5 June 2018

At a Glance

Hardcover
188 Pages

Dimensions(cm)
23.5 x 15.49 x 1.27

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$179.00

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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 methodology, known as fault diagnosis - inverse problem methodology or FD-IPM, unifies the results of several years of work of the authors in the fields of fault detection and isolation (FDI), inverse problems and optimization. The book clearly and systematically presents the main ideas, concepts and results obtained in recent years. By formulating fault diagnosis as an inverse problem, and by solving it using metaheuristics, the authors offer researchers and students a fresh, interdisciplinary perspective for problem solving in these fields. Graduate courses in engineering, applied mathematics and computing also benefit from this work.

Industry Reviews

"The book is written by a group of authors, all of them well-known for their research works in the field of model based fault diagnosis and inverse problems, metaheuristic and optimization problems. ... The book is complete, eminently readable, and is accessible to novices and experts working in the above-mentioned fields." (Anatoly Martynyuk, zbMath 1414.93103, 2019)

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