Fuzzy control, estimation and diagnosis: Single and interconnected systems

Magdi S. Mahmoud*

*Corresponding author for this work

Research output: Book/ReportBookpeer-review

15 Scopus citations

Abstract

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 with a downloadable solutions manual available to instructors. 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.

Original languageEnglish
PublisherSpringer International Publishing
Number of pages689
ISBN (Electronic)9783319549545
ISBN (Print)9783319549538
DOIs
StatePublished - 15 Jun 2017

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2018. All rights reserved.

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science

Fingerprint

Dive into the research topics of 'Fuzzy control, estimation and diagnosis: Single and interconnected systems'. Together they form a unique fingerprint.

Cite this