Fuzzy Control
a textbook by
Kevin M. Passino and Stephen Yurkovich
To be published by Addison-Wesley, 1997
If you have corrections for the above book please send them
via email to the first author 
passino@ee.eng.ohio-state.edu
.
Unsupported Public Domain Code for Intelligent Systems
Please feel free to download the following code but understand that
we can in no way support its operation (including answering simple questions).
The authors, all of which are (or were) OSU students working under the direction
of K. Passino, are listed at the top of each program and have agreed that
this code could be freely passed to others.
- To download a fuzzy controller for the inverted pendulum coded in C,
click here.
- To download a simulator for nonlinear systems based on the Runge-Kutta
method (4th order) that is written in C and currently set up to simulate
the inverted pendulum, click here (hence this code
can be used together with the code for the fuzzy controller above to simulate
a simple fuzzy control system).
- To download C code for a simple fuzzy controller, click here.
- To download Matlab code for an adaptive fuzzy controller (the fuzzy
model reference learning controller) that also contains an efficient coding
of a fuzzy controller, click here.
- To download C code for a base-10 genetic algorithm that is currently
configured to optimize a simple function, click here.
- To download Matlab code for a base-10 genetic algorithm that is currently
configured to optimize a simple function, click here.
- For the programs written in C it is easy to output the data to a file
and plot it in MATLAB. For a brief explanation of how to output data from
programs and plot it in MATLAB, click here.
Known Errors in the Book:
None yet!
Ordering Information:
For information on how to order the above book please see the homepage of
Addison-Wesley.