@inproceedings{b2b06b4bd22a4ff7aa3a0249203d493f,
title = "Application of fuzzy-rough control in deoxidation system",
abstract = "In this paper a multidimensional fuzzy controller is presented based on rule reduction of rough sets. The design of the controller is simplified by reducing the multiple fuzzy rules with the rule reduction. The thermodynamic deoxidation system is composed of several deaerators. When they work together the pressure of one deaerator is coupled with others and so is the water level. The pressure and the water level of each deaerator are coupled too. Thus the system is characterized with intensive coupling, multi-input multi-output (MIMO), great delay, time-varying and nonlinearity. Hence the precise mathematic model is difficult to obtain. Fuzzy controller can be implemented on the experience of experts without knowing the model. The number of rules is very large, but it can be reduced with the rule reduction of rough sets. The simulation investigation made for the design shows better robustness of the controller. The design of the fuzzy-rough controller proposed in this paper is simple, easy to achieve and suitable to other MIMO fuzzy controllers.",
keywords = "Deoxidation system, Fuzzy control, Rough sets, Rule reduction",
author = "Qu, \{Yan Bin\} and Su, \{Jian Yong\} and Feng, \{Li Guo\}",
year = "2004",
doi = "10.1109/ICMLC.2004.1382213",
language = "英语",
isbn = "0780384032",
series = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2444--2447",
booktitle = "Proceedings of 2004 International Conference on Machine Learning and Cybernetics",
address = "美国",
note = "3rd International Conference on Machine Learning and Cybernetics, ICMLC 2004 ; Conference date: 26-08-2004 Through 29-08-2004",
}