Although the use of fuzzy control methods has grown nearly to the
level of classical control, the true understanding of fuzzy control
lags seriously behind. Moreover, most engineers are well versed in
either traditional control or in fuzzy control-rarely both. Each has
applications for which it is better suited, but without a good
understanding of both, engineers cannot make a sound determination of
which technique to use for a given situation.A First Course in Fuzzy
and Neural Control is designed to build the foundation needed to make
those decisions. It begins with an introduction to standard control
theory, then makes a smooth transition to complex problems that
require innovative fuzzy, neural, and fuzzy-neural techniques. For
each method, the authors clearly answer the questions: What is this
new control method? Why is it needed? How is it implemented?
Real-world examples, exercises, and ideas for student projects
reinforce the concepts presented.Developed from lecture notes for a
highly successful course titled The Fundamentals of Soft Computing,
the text is written in the same reader-friendly style as the authors'
popular A First Course in Fuzzy Logic text. A First Course in Fuzzy
and Neural Control requires only a basic background in mathematics
and engineering and does not overwhelm students with unnecessary
material but serves to motivate them toward more advanced studies.
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