Book description
This book gives an introduction to basic fuzzy logic and Mamdani and
Takagi-Sugeno fuzzy systems. The text shows how these can be used to
control complex nonlinear engineering systems, while also also
suggesting several approaches to modeling of complex engineering systems
with unknown models.
Finally, fuzzy modeling and control methods are combined in the
book, to create adaptive fuzzy controllers, ending with an example of
an obstacle-avoidance controller for an autonomous vehicle using
modus ponendo tollens logic.
John H. Lilly
, PhD, is a professor in the Speed School of Engineering at the
University of Louisville. His research interests are nonlinear and
adaptive control, fuzzy identification and control, positive/negative
fuzzy systems, pneumatic muscle actuators, and robotics. In addition to
his twenty-eight years of teaching experience, Dr. Lilly has written
more than fifty refereed journal and conference articles, book chapters,
invited scholarly lectures, and seminars.
