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.