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Model Based Fuzzy Control uses a given conventional or fuzzy open
loop model of the plant under control to derive the set of fuzzy
rules for the fuzzy controller. Of central interest are the
stability, performance, and robustness of the resulting closed loop
system. The major objective of model based fuzzy control is to use
the full range of linear and nonlinear design and analysis methods
to design such fuzzy controllers with better stability,
performance, and robustness properties than non-fuzzy controllers
designed using the same techniques. This objective has already been
achieved for fuzzy sliding mode controllers and fuzzy gain
schedulers - the main topics of this book. The primary aim of the
book is to serve as a guide for the practitioner and to provide
introductory material for courses in control theory.
Model based fuzzy control uses a given conventional or fuzzy open
loop model of the plant under control to derive the set of fuzzy
if-then rules for the fuzzy controller. Of central interest are the
stability, performance, and robustness properties of the resulting
closed loop system involving a conventional or fuzzy model and a
fuzzy controller. The major objective of model based fuzzy control
is to use the full range of linear and nonlinear design and
analysis methods to design such fuzzy controllers with properties
superior to non-fuzzy controllers designed using the same
techniques. This objective has already been achieved for fuzzy
sliding mode controllers and fuzzy gain schedulers - the main
topics of this book. A comprehensive and up-to-date treatment of
model based fuzzy control and its relationship to conventional
control, the text is intended to serve as a guide for scientists
and practitioners and to provide introductory material on fuzzy
control for courses in control theory.
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