Fuzzy Control, Estimation and Diagnosis - Single and Interconnected Systems (Paperback, Softcover reprint of the original 1st ed. 2018)

This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid. The content of the book is developed and extended from material taught for four years in the author's classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	August 2018
First published:	2018
Authors:	Magdi S. Mahmoud
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	689
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-319-85530-1
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-319-85530-1
Barcode:	9783319855301

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