T. Hasegawa et al., ON DESIGN OF ADAPTIVE FUZZY CONTROLLER USING FUZZY NEURAL NETWORKS AND A DESCRIPTION OF ITS DYNAMICAL BEHAVIOR, Fuzzy sets and systems, 71(1), 1995, pp. 3-23
Citations number
23
Categorie Soggetti
Computer Sciences, Special Topics","System Science",Mathematics,"Statistic & Probability",Mathematics,"Computer Science Theory & Methods
This paper presents a design method of adaptive fuzzy controller. The
fuzzy controller is designed with linguistic rules of fuzzy models of
controlled objects. The fuzzy model is identified with a fuzzy neural
network (FNN). This paper also presents a ''rule-to-rule mapping'' met
hod for describing the dynamical behavior of the designed control syst
em. The new method uses the fuzzy rules of fuzzy control system and en
ables the description of the dynamical behavior using the language of
the rules. Modification of control rules becomes easy with the mapping
method. The designed fuzzy controller can be implemented with another
FNN. An adaptive tuning of the control rules of the FNN controller is
made possible utilizing the fuzzy model. Simulations using a controll
ed object with a second-order system are done to verify the proposed d
esign method.