DocumentCode :
323362
Title :
T-S fuzzy model in discrete form and its application to identification of a plane manipulator with two degrees of freedom
Author :
Zhendong, Zhang ; Zenqi, Sun
Author_Institution :
Dept. of Electr. Eng., Hebei Univ. of Technol., Tianjin, China
Volume :
1
fYear :
1997
fDate :
28-31 Oct 1997
Firstpage :
368
Abstract :
A discrete form of a Takagi-Sugeno (T-S) model for a plane manipulator with two degrees of freedom is proposed. The identification problem of the T-S model is discussed. In the first step, the system is excited by a pseudo-random number sequence in every node, the input and output data are recorded, and then a local linearization equation is identified by the method of least squares in the node. In the second step, the model identified in the first step is corrected by a fuzzy-neural network in order to improve its accuracy. Finally, a simulation result of the system is proposed
Keywords :
discrete systems; fuzzy neural nets; fuzzy systems; identification; least squares approximations; linearisation techniques; manipulators; random number generation; sequences; T-S fuzzy model; Takagi-Sugeno model; discrete-form T-S model; fuzzy-neural network; input data; least squares method; local linearization equation; model accuracy; model correction; model identification; output data; plane manipulator; pseudo-random number sequence; simulation; system excitation; Application software; Computer science; Fuzzy control; Fuzzy neural networks; Helium; Least squares approximation; Least squares methods; Neural networks; Nonlinear equations; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
Type :
conf
DOI :
10.1109/ICIPS.1997.672802
Filename :
672802
Link To Document :
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