DocumentCode
2339505
Title
Stability of neurofuzzy controllers
Author
Sanchez, Edgar N. ; Vega, Victor
Author_Institution
Electr. Eng. Graduate Program, Univ. Autonoma de Nuevo Leon, San Nicolas de los Garza, Mexico
Volume
6
fYear
1995
fDate
21-23 Jun 1995
Firstpage
4251
Abstract
The paper presents the stability analysis for a class of neuro-fuzzy controllers. A representation of fuzzy sets as radial basis neural network is utilized. Stability conditions for nonlinear plants, in closed loop with this type of controller, are obtained by means of Popov theorem. Applicability of these conditions is illustrated via simulations
Keywords
Popov criterion; closed loop systems; feedforward neural nets; fuzzy control; fuzzy neural nets; neurocontrollers; nonlinear control systems; stability; Popov theorem; closed-loop control; fuzzy sets; neurofuzzy controllers; nonlinear plants; radial basis neural network; stability analysis; stability conditions; Adaptive control; Closed loop systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Neodymium; Neural networks; Programmable control; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, Proceedings of the 1995
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2445-5
Type
conf
DOI
10.1109/ACC.1995.532735
Filename
532735
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