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Fuzzy Control Download
Topic under  Control Mode
Source: www.ece.osu.edu 
File size: 5.29 MB
File type: pdf
Last download on: Thu Jul 20, 2017 09:43:34 AM
Short Desciption:
some of the most widely used approaches to fuzzy control system design. We ... show how to design, simulate, and implement a variety of fuzzy control

Overview of the Book
The book is basically broken into three parts. In Chapters 1–4 we cover the basics of “direct” fuzzy control (i.e., the nonadaptive case). In Chapters 5–7 we cover adaptive fuzzy systems for estimation, identification, and control. Finally, in Chapter 8 we briefly cover the main areas of intelligent control and highlight how the topics covered in this book relate to these areas. Overall, we largely focus on what one could call the “heuristic approach to fuzzy control” as opposed to the more recent mathematical focus on fuzzy control where stability analysis is a major theme.
Examples, Applications, and Design and Implementation Case Studies
We provide several design and implementation case studies for a variety of applications, and many examples are used throughout the text. The basic goals of these case studies and examples are as follows: • To help illustrate the theory. • To show how to apply the techniques. • To help illustrate design procedures in a concrete way. • To show what practical issues are encountered in the development and implementation of a fuzzy control system.
Some of the more detailed applications that are studied in the chapters and their accompanying homework problems are the following: • Direct fuzzy control: Translational inverted pendulum, fuzzy decision-making systems, two-link flexible robot, rotational inverted pendulum, and machine scheduling (Chapters 2 and 3 homework problems: translational inverted pendulum, automobile cruise control, magnetic ball suspension system, automated highway system, single-link flexible robot, rotational inverted pendulum, machine scheduling, motor control, cargo ship steering, base braking control system, rocket velocity control, acrobot, and fuzzy decision-making systems).
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