DocumentCode :
354180
Title :
Generalized predictive control using fuzzy neural networks in T-S model
Author :
Li, Xiang ; Chen, Zengqiang ; Yuan, Zhuzhi
Author_Institution :
Dept. Comput. & Syst. Sci., Nankai Univ., Tianjin, China
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
885
Abstract :
A fuzzy neural networks in Takagi-Sugeno (T-S) model is constructed, where BP algorithm is applied to train the parameters of the fuzzy neural networks. On this basis, a generalized predictive controller is designed whose effectiveness for nonlinear systems control is verified via simulation studies
Keywords :
fuzzy neural nets; neurocontrollers; nonlinear systems; predictive control; Takagi-Sugeno model; fuzzy neural networks; generalized predictive control; nonlinear systems; Algorithm design and analysis; Computer networks; Fuzzy control; Fuzzy neural networks; Hoses; Neural networks; Nonlinear control systems; Nonlinear systems; Predictive control; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.863359
Filename :
863359
Link To Document :
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