STABLE ADAPTIVE CONTROL AND ESTIMATION FOR NONLINEAR SYSTEMS:
 NEURAL AND FUZZY APPROXIMATOR TECHNIQUES
 J.T. Spooner, M. Maggiore, R. Ordonez, and K.M. Passino
 Copyright 2002 John Wiley & Sons, Inc., New York.
Chapter 9: Implementations and Comparative Studies

CONTENTS OF THIS FOLDER
(Please note that this folder contains files written in the C language)

README.txt
This file
flpend.c
Sastry's feedback linearization for the inverted pendulum, used to generate Figure 9.6. Requires rungekutta.*
rungekutta.c
rungekutta.h
Files to implement the Runge-Kutta numerical method for numerical integration
cipend.c
Indirect adaptive fuzzy control for the inverted pendulum, used to generate Figure 9.11. Requires rungekutta.* and cifuzz.*
cifuzz.c
cifuzz.h
Implement standard or Takagi-Sugeno fuzzy systems, modified to suit the indirect adaptive methods
cdpend.c
Direct adaptive fuzzy control for the inverted pendulum, used to generate Figure 9.19. Requires rungekutta.* and cdfuzz.*
cdfuzz.c
cdfuzz.h
Implement standard or Takagi-Sugeno fuzzy systems, modified to suit the direct adaptive methods
plots.m
Used to load and plot the output produced by either flpend.c, cipend.c or cdpend.c