pdf Solutions Manual|
Enriches understanding of fuzzy control-system design
Solved examples, case studies, exercises and projects maximise student-learning potential
Solutions available for download save the instructor time
Provides a unified approach embracing both single and interconnected fuzzy systems
MagdiSadek Mahmoud has been a professor of engineering since 1984. He is now a Distinguished Professor at KFUPM, Saudi Arabia. He was on the faculty at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang) and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK ((Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of thirty-six (36) books, inclusive book-chapters and the author/co-author of more than 525 peer-reviewed papers. He is the recipient of two national, one regional and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE, the CEI (UK), and a registered consultant engineer of information engineering and systems (Egypt). During the past ten years at KFUPM, he managed several projects with funds exceeding 4 million SR. He served on the editorial board of several journals and was the keynote speakers of several international conferences. He is a fellow of the IEE and a senior member of the IEEE and the CEI (UK).
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.
Introduction.- Part I: Fuzzy Control.- Basics of Fuzzy Control.- Discrete-Time Fuzzy Control.- Fuzzy Networked Control Systems.- Sliding-Mode Fuzzy Control.- Part II: Fuzzy Estimation.- Fuzzy Robust Estimation.- Fuzzy Quantized Filtering.- Fuzzy Stabilization Approaches.- Part III: Fuzzy Diagnosis.- Fuzzy Fault Detection and Control.- Fuzzy Fault Diagnosis.- Part IV: Applications and Tools.- Applications.- Simulation Tools.- Appendices.
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.
MagdiSadek Mahmoud has been a professor of engineering since 1984. He is now a Distinguished Professor at KFUPM, Saudi Arabia. He was on the faculty at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang) and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK ((Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of thirty-six (36) books, inclusive book-chapters and the author/co-author of more than 525 peer-reviewed papers. He is the recipient of two national, one regional and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE, the CEI (UK), and a registered consultant engineer of information engineering and systems (Egypt). During the past ten years at KFUPM, he managed several projects with funds exceeding 4 million SR. He served on theeditorial board of several journals and was the keynote speakers of several international conferences. He is a fellow of the IEE and a senior member of the IEEE and the CEI (UK).
Über den Autor
MagdiSadek Mahmoud has been a professor of engineering since 1984. He is now a Distinguished Professor at KFUPM, Saudi Arabia. He was on the faculty at different universities worldwide including Egypt (CU, AUC), Kuwait (KU), UAE (UAEU), UK (UMIST), USA (Pitt, Case Western), Singapore (Nanyang) and Australia (Adelaide). He lectured in Venezuela (Caracas), Germany (Hanover), UK ((Kent), USA (UoSA), Canada (Montreal) and China (BIT, Yanshan). He is the principal author of thirty-six (36) books, inclusive book-chapters and the author/co-author of more than 525 peer-reviewed papers. He is the recipient of two national, one regional and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE, the CEI (UK), and a registered consultant engineer of information engineering and systems (Egypt). During the past ten years at KFUPM, he managed several projects with funds exceeding 4 million SR. He served on theeditorial board of several journals and was the keynote speakers of several international conferences. He is a fellow of the IEE and a senior member of the IEEE and the CEI (UK).
Inhaltsverzeichnis
Introduction.- Part I: Fuzzy Control.- Basics of Fuzzy Control.- Discrete-Time Fuzzy Control.- Fuzzy Networked Control Systems.- Sliding-Mode Fuzzy Control.- Part II: Fuzzy Estimation.- Fuzzy Robust Estimation.- Fuzzy Quantized Filtering.- Fuzzy Stabilization Approaches.- Part III: Fuzzy Diagnosis.- Fuzzy Fault Detection and Control.- Fuzzy Fault Diagnosis.- Part IV: Applications and Tools.- Applications.- Simulation Tools.- Appendices.
Klappentext
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.
Enriches understanding of fuzzy control-system design
Solved examples, case studies, exercises and projects maximise student-learning potential
Provides a unified approach embracing both single and interconnected fuzzy systems
Includes supplementary material: sn.pub/extras
Request lecturer material: sn.pub/lecturer-material
