DocumentCode :
2064220
Title :
Linguistic information feed-forward-based dynamical fuzzy systems.II. Evaluation
Author :
Gao, X.Z. ; Ovaska, S.J.
Author_Institution :
Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland
fYear :
2003
fDate :
23-25 June 2003
Firstpage :
81
Lastpage :
84
Abstract :
Part I of this paper introduces the linguistic information feed-forward-based dynamical fuzzy system as well as an adaptive learning algorithm for the feed-forward parameters. In Part II, we are going to evaluate the effectiveness of the proposed LIFFDFS and its learning algorithm using the well-known Box-Jenkins time series (1976). The Box-Jenkins time series are generated from a gas furnace, whose input u(k) is the gas flow rate, and output y(k) is the CO2 concentration. the LIFFDFS is employed in our simulation to predict y(k), based on the past values of both u(k) and y(k).
Keywords :
computational linguistics; dynamic programming; feedforward neural nets; fuzzy control; fuzzy systems; learning (artificial intelligence); time series; Box-Jenkins time series; LIFFDFS; adaptive learning algorithm; carbon dioxide concentration; dynamical system; feed-forward parameter; feed-forward-based system; fuzzy systems; gas flow rate; gas furnace; linguistic information; single-step ahead prediction; system evaluation; Feedforward systems; Fluid flow; Furnaces; Fuzzy sets; Fuzzy systems; History; Power electronics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing in Industrial Applications, 2003. SMCia/03. Proceedings of the 2003 IEEE International Workshop on
Print_ISBN :
0-7803-7855-5
Type :
conf
DOI :
10.1109/SMCIA.2003.1231348
Filename :
1231348
Link To Document :
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