15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
NEURO-FUZZY NETWORK BASED ADAPTIVE INTEGRATING COTNROL
C.W Chan*, Xiang-Jie Liu**, Felipe Lara-Rosano**
* Department of Mechanical Engineering, The University of Hong Kong
** Centro de Instrumentos UNAM, Mexico City, D.F. 04510, Mexico

A self-tuning neurofuzzy integrating controller is derived in this paper for offset eliminating purpose. CARIMA plant model is used and the control law produces integral control terms in a natural way. Neurofuzzy networks are chosen to implement the direct self-tuning nonlinear integrating controller. The performance of the self-tuning integrating neurofuzzy controller is illustrated by examples involving both linear and nonlinear systems .
Keywords: Self-tuning control, neural networks, fuzzy control, nonlinear control
Session slot T-Th-A04: Neuro fuzzy systems and control/Area code 3e : Fuzzy and Neural Systems