Title :
Fuzzy logic approach to identification of nonlinear characteristic
Author :
Królikowski, Andrzej
Author_Institution :
Dept. of Control, Robotics & Comput. Sci., Poznan Tech. Univ., Poland
Abstract :
Identification of nonlinear characteristic using fuzzy approach is considered. A fuzzy model is represented as a number of rules. The condition part of the rule is determined by a fuzzy partition of the input space, and the action part of the rule is a regression model where the regression coefficients have to be identified. The method is applied to identification of nonlinear characteristic of a separately excited DC motor
Keywords :
DC motors; fuzzy logic; fuzzy set theory; fuzzy systems; identification; nonlinear systems; DC motor; fuzzy logic; fuzzy model; fuzzy partition; identification; nonlinear characteristic; regression model; Computer science; DC motors; Equations; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Input variables; Orbital robotics; Robot control;
Conference_Titel :
Intelligent Engineering Systems, 1997. INES '97. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Budapest
Print_ISBN :
0-7803-3627-5
DOI :
10.1109/INES.1997.632453
