Title :
Analysis of one class of neuro-fuzzy regulators
Author :
Durovic, Zieljko ; Kovacevic, B. ; Papic, Veljko
Author_Institution :
Fac. of Electr. Eng., Belgrade Univ., Serbia
Abstract :
The analysis of a class of neuro-fuzzy regulators, called ANFIS (adaptive neuro-fuzzy inherited systems), is presented in the paper. The overview of its structure and the training process is included. One example of nonlinear system is also used to illustrate the feasibility and the limits of this class of regulators.
Keywords :
adaptive control; control system analysis; fuzzy control; fuzzy neural nets; neurocontrollers; ANFIS; adaptive neuro-fuzzy inherited systems; neuro-fuzzy regulators; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Neural networks; Nonlinear systems; Programmable control; Regulators;
Conference_Titel :
Neural Network Applications in Electrical Engineering, 2002. NEUREL '02. 2002 6th Seminar on
Print_ISBN :
0-7803-7593-9
DOI :
10.1109/NEUREL.2002.1057975